Hangzhou Hikvision Digital Technology Co., Ltd.

Binghua Luo

Shiliang Pu

Yi Niu

Jun Chen

Jiang Zhu

Qun Wang

Zhanzhan Cheng

Jinhong Qi

Zuozhou Pan

An image object recognition method, apparatus, and computer device are provided. The image object recognition method includes: performing feature extraction in the direction of a horizontal angle of view and in the direction of a vertical angle of view of an image respectively, to extract a lateral feature sequence and a longitudinal feature sequence of the image; fusing the lateral feature sequence and the longitudinal feature sequence to obtain a fused feature; activating the fused feature by using a preset activation function to obtain an image feature; and recognizing an object in the image by decoding the image feature. This solution can improve the efficiency of the object recognition.

Lateral and longitudinal feature based image object recognition method, computer device, and non-transitory computer readable storage medium

The present application discloses a vehicle monitoring method and apparatus, processor, and image acquisition device. The method includes: identifying a vehicle window area image in a vehicle image obtained through monitoring; performing feature identification on the vehicle window area image to obtain an identification result of a target feature; performing human eye sensory processing on the vehicle image and the vehicle window area image respectively, and stitching the processed vehicle image and the processed vehicle window area image to obtain a processed image; and outputting the identification result of the target feature and the processed image. The present application solves the technical problem of relatively low identification rate in vehicle monitoring by image detection.

Vehicle monitoring method and apparatus, processor, and image acquisition device

Embodiments of the present disclosure provide a method and apparatus for detecting a license plate. The method comprises: obtaining, according to pixel values of pixels in an image to be detected, a candidate license plate area Min the image to be detected (S); calculating an aspect ratio of the candidate license plate area Mand determining if the aspect ratio is greater than a first predefined threshold (S); determining, if the aspect ratio is greater than the first predefined threshold, a new candidate license plate area Mfrom the candidate license plate area Maccording to a predefined machine learning-based regression algorithm (S); determining, according to a first predefined classification model, whether the candidate license plate area Mis a license plate area (S); determining, if the candidate license plate area Mis a license plate area, the candidate license plate area Mas a license plate area, and generating a detection result based on the candidate license plate area M(S). The application of the solution improves the accuracy of license plate detection.

License plate detection method and device

The present invention relates to the field of data storage, and discloses an image storage method and apparatus thereof. In the present invention, the method comprises the following steps: judging if a storage time of a current image reaches a predetermined duration; if the judgment result is yes, then determining a target region containing at least one region of interest in the current image according to the predetermined duration; generating a target region image containing the target region according to the target region, wherein the data size of the target region image is smaller than the data size of the current image; storing the target region image; deleting the current image. With the growth of storage time, redundant information in the image is gradually removed by setting different durations, so that the storage space occupied by the image can be reduced while the information of a region of interest required in various practical applications can be retained, which achieves the purpose of storing critical information in the limited storage space as long as possible.

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Zhejiang, China

Binghua Luo