Hangzhou Hikvision Digital Technology Co., Ltd.

Hai Yu

Shiliang Pu

Linjie Shen

Meng Fan

Jie Chen

Hui Mao

Xinxin Nie

Ye Ren

Jiang Zhu

Zhigang Hu

Hui Su

Junyan Tong

Tian Huang

Jingxiong Wang

Lihong Luo

Jianxin Meng

Xiaoyang Wu

Yonghua Jia

Cheng Ma

Jianhua Chen

Tao Fu

Jinhong Qi

Chongji Huang

Fei Xiao

Xiaowang Cai

Xiang Tan

Cheng Qin

Embodiments of the present application provide a navigation method, device and system. The method is applicable to a server and comprises: receiving current position characteristic information sent by a mobile terminal, and determining a position of an area matching the current position characteristic information based on the current position characteristic information and a locally stored database, and taking the determined position as an initial position; receiving target position characteristic information sent by the mobile terminal, determining a position of an area matching the target position characteristic information based on the target position characteristic information and the database, and taking the determined position as a target position; and determining a first route from the initial position to the target position and displaying the first route on an electronic map of the mobile terminal. Embodiments of the present application can provide users with accurate navigation information and improve user experience.

Navigation method, device, and system

An apparatus for acquiring an image includes an image sensor, a light compensator, and a light filter assembly. The image sensor is on a light output side of the light filter assembly, and is configured to generate and output a first image signal and a second image signal by a plurality of exposures. The first image signal is generated according to a first preset exposure and the second image signal is generated according to a second preset exposure, and they are two of the plurality of exposures. The light compensator includes a first light compensation apparatus, the first light compensation apparatus is configured to perform near-infrared light compensation, and the near-infrared light compensation is performed in at least part of an exposure period of the first preset exposure but is not performed in an exposure period of the second preset exposure.

Apparatus for acquiring image and method for acquiring image

A multi-spectrum based image fusion apparatus is disclosed, which includes a light acquisition device, an image processor, and an image sensor having five types of photosensitive channels. The five types of photosensitive channels including red, green and blue RGB channels, an infrared IR channel and a full-band W channel. The light acquisition device acquires target light corresponding to incident light. The image sensor converts the target light into an image signal through the RGB channels, the IR channel and the W channel. The image processor analyzes the image signal into RGB color signals and a brightness signal, and fuses the RGB color signals and the brightness signal to obtain a fused image. The collection of the channels based on which the RGB color signals and the brightness signal are obtained includes the five types of photosensitive channels.

Multi-spectrum-based image fusion apparatus and method, and image sensor

An image collection device for light splitting and fusion is provided. In the image collection device, a light splitter splits incident light into a visible light and a non-visible light; a visible spectrum imaging module performs photosensitive imaging according to the visible light split by the light splitter to form a first visible light image; a non-visible spectrum imaging module performs photosensitive imaging according to the non-visible light split by the light splitter to form a first non-visible light image; a registration unit performs position registration on the first visible light image and the first non-visible light image to obtain a target visible light image and a second non-visible light image; a pre-processing synthesizing unit performs brightness adjustment on the second non-visible light image to obtain a target non-visible light image; a fusion unit performs image fusion on the target visible light image and the target non-visible light image to obtain a fused image. By this solution, the color accuracy of the fused image can be ensured effectively.

Light-splitting combined image collection device

A surveillance method, apparatus, system, electronic device and computer-readable storage medium are provided. In the surveillance method, a non-visible light image and a target image are obtained, wherein the target image is generated from a visible light signal captured during a capture period of the non-visible light image. The method then detects whether an object is present in the non-visible light image. When an object is detected in the non-visible light image, a second location area of the object in a visible light image is determined according to a first location area of the object in the non-visible light image, such that surveillance of the object is implemented based on the visible light image, wherein the visible light image is an image determined based on the target image.

Monitoring method, apparatus and system, electronic device, and computer readable storage medium

The present application discloses a method and an apparatus for displaying an image based on privacy masking, which belong to the field of video monitoring. The method includes: acquiring a to-be-masked original image provided by an image capture terminal and privacy masking area information of the original image; wherein, the privacy masking area information is obtained by identifying the original image or is obtained from the image capture terminal and indicates an area in the original image which is required to be masked; determining whether the original image is required to be privacy-masked based on whether privacy unmasking permission information is stored; if the original image is required to be privacy-masked, performing privacy-masking on the original image based on the privacy masking area information to obtain a masked image, and displaying the masked image. In this way, the image capture terminal is only required to provide an original image without providing the original image and the masked image, so the costs of both storage and transmission are low, saving the storage resources and network resources of the image capture terminal.

Method and apparatus for image display using privacy masking

Embodiments of the present application disclose an image dehazing method and an image acquiring apparatus implementing image dehazing. In the embodiments of the present application, an RGBIR sensor can be adopted to generate a first RGBIR image and a second RGBIR image, such that the generated images are color images and contain infrared information; thus a finally generated image thus has a good dehazing effect; in addition, the image acquiring apparatus adjusts the first exposure time length and the second exposure time length based on the first RGBIR image and the second RGBIR image generated during each exposure, causing the RGB components and the IR component in the image to be balanced, which guarantees the display effect of the finally generated dehazed image.

Image defogging method and image capture apparatus implementing image defogging

Embodiments of the present application provide an image fusion apparatus and an image fusion method. The image fusion apparatus includes: a light acquisition device, an image processor, and an image sensor having four types of photosensitive channels. The four types of photosensitive channels include red, green and blue RGB channels and an infrared IR channel. The light acquisition device is configured to filter a spectrum component of a first predetermined wavelength range from incident light to obtain target light. The first predetermined wavelength range is a spectrum wavelength range in which a difference between the responsivities of the RGB channels and the responsivity of the IR channel in the image sensor in the infrared band is higher than a first predetermined threshold. The image sensor is configured to convert the target light into an image signal through the RGB channels and the IR channel. The image processor is configured to analyze the image signal into color signals and a brightness signal that is photosensitive to an infrared band, and perform fusion process on the color signals and the brightness signal to obtain a fused image. With the present solution, the calculation for removing the infrared component from the color signals can be simplified, which improves the efficiency of image fusion.

Image fusion apparatus and image fusion method

A measurement method and apparatus are provided. The measurement method is applicable to an image acquisition device, and includes: acquiring image data to generate an image data file (S); capturing an object to be measured in an image corresponding to the image data file (S); obtaining a first distance between a horizontal line going through a lowest point of the object to be measured in the image and a horizontal line going through a center point of the image (S); and calculating a second distance between the object to be measured and the image acquisition device based on the first distance, an installation height of the image acquisition device and a pitch angle of the image acquisition device (S). Compared with the relevant art, the image acquisition device can measure the distance to an object to be measured while achieving relatively low production cost and easy installation. As a result, actual demands can be better satisfied.

Measurement method and apparatus

The present application discloses a method and system for processing image signals, the method and system sensing visible light bands of optical signals in an area to be imaged, via a first imaging unit, to generate a first image signal, wherein the first image signal includes color information; sensing at least infrared bands of optical signals in the area to be imaged, via a second imaging unit, to generate a second image signal, wherein the second image signal includes illumination information; and synthesizing the first image signal and the second image signal to generate a synthesized image with color information and illumination information. The present application can generate a synthesized image with a variety of advantages, and can meet the two monitoring requirements in low illumination and haze environment which are focused in the field of security.

Image signal processing method and system

The present disclosure discloses an image fusion method, device and system. The image fusion method comprises: obtaining a visible light image generated by a visible light sensor and an invisible light image generated by an invisible light sensor, wherein there is a correspondence between the visible light image and the invisible light image; synthesizing the visible light image and the invisible light image to create a first synthetic image; denoising the visible light image and the first synthetic image; and fusing the denoised visible light image and the denoised first synthetic image to generate a second synthetic image. In embodiments of the present disclosure, the visible light image and the first synthetic image that is fused with the invisible light image are denoised respectively before the final image fusion to denoising the fused image.

Method, device and system for image fusion

Systems and methods are provided for hybrid video encoding. An example method includes: acquiring image information; extracting a background image based at least in part on the image information; detecting whether the background image is stable; and performing encoding switching between a background-based encoding method and a non-background encoding method based at least in part on the detection.

Systems and methods for hybrid video encoding

Systems and methods are provided for video display control. An example method includes: determining, by one or more processors, whether a coding frame extracted from a video coding stream is an I Frame; if the coding frame extracted from the video coding stream is an I Frame, acquiring, by the one or more processors, a timestamp of the I Frame and a timestamp of an adjacent coding frame after the I Frame; and controlling, by the one or more processors, display of the I Frame based on the timestamp of the I Frame and the timestamp of the adjacent coding frame after the I Frame.

Systems and methods for controlling video display

The present application discloses a method and a device for image stitching. The method includes: obtaining a first image acquired by a first camera and a second image acquired by a second camera, wherein the first image is an image with visible light information, the second image is an image including depth information and visible light information, the first camera and the second camera are disposed adjacent to each other, and there is an overlapping area between the acquired first image and second image; mapping pixels in the second image to the overlapping area and/or an extended area, wherein the extended area is an image area formed by pixels in the second image which are mapped to the outside of the first image; stitching the mapped pixels in the second image to the overlapping area and/or the extended area based on depth information and visible light information of the pixels in the second image to obtain a stitched image. The present application solves the technical problem of a low stitching efficiency in the image stitching process in the prior art.

Method and device for image stitching

A method for obtaining a combined depth map, and a depth camera. The method is applicable to a processor in the depth camera. The depth camera includes the processor, at least one light emitting element, and at least two time-of-flight (ToF) sensors, and the composite irradiation range of the at least one light emitting element convers the composite field of view of the at least two ToF sensors. The light emitting elements in the depth camera modulate light signals with the same modulation signal and then transmit the modulated light signals; the ToF sensors demodulate, by using same demodulation signal corresponding to the modulation signal, the received modulated light signal reflected back by an object, so as to generate depth data; and the processor performs data fusion processing on all the received depth data, so as to obtain a combined depth map. By applying the technical solutions provided in the embodiments of the present application, the application requirements of the depth map of the large field of view can be satisfied, and the problem of mutual interference due to asynchronization of modulation and demodulation can be avoided.

Growing community of inventors

Hangzhou, China

Hai Yu