Sensetime International Pte. Ltd.

Kaige Chen

Shuai Yi

Haiyu Zhao

Jin Wu

Daming Niu

Bairun Wang

Mingyuan Zhang

Yihan Zhang

Lue Wu

The present disclosure provides a method, apparatus and system for identifying target objects. The method includes: clipping out a target image from an acquired image, wherein the target image involves a plurality of target objects to be identified that are stacked; adjusting a height of the target image to a preset height, wherein a height direction of the target image corresponds to a direction in which the plurality of target objects are stacked; extracting a feature map of the adjusted target image; segmenting the feature map in a dimension corresponding to the height direction of the target image to obtain a preset number of segment features; and identifying the target objects based on each of the preset number of segment features.

Method, apparatus and system for identifying target objects

Provided are a matching method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a to-be-matched image; extracting at least one to-be-matched feature point from the to-be-matched image; for one of at least one reference image, performing matching between the at least one to-be-matched feature point and at least one reference feature point extracted from the reference image to obtain a distance set corresponding to the reference image, the distance set corresponding to the reference image being a distance set composed of distances between the at least one to-be-matched feature point and the at least one reference feature point, the one reference image including an image of a standard sample, and different reference images including different standard samples; and determining, based on the distance set corresponding to each reference image, whether the to-be-matched image matches each reference image.

Matching method and apparatus, electronic device, computer-readable storage medium, and computer program

Embodiments of the present disclosure disclose an image processing method and apparatus, and an electronic device. The method includes: obtaining a key frame image that includes a target object, and obtaining a to-be-processed frame image that includes the target object; extracting a feature point in the key frame image and a feature point in the to-be-processed frame image, respectively; determining a matching relationship between each feature point in the key frame image and each feature point in the to-be-processed frame image; determining a transformation relationship based on the feature point in the key frame image and a feature point in the to-be-processed frame image that matches the feature point in the key frame image; and processing the to-be-processed frame image based on the transformation relationship to obtain a target frame image.

Image processing method and apparatus, and electronic device

Disclosed are a gesture recognition method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a hand detection result by detecting a to-be-processed image; in response to the hand detection result including a bounding box of hand, determining that a hand pose in the bounding box of hand conforms to a hand pose in a target gesture; determining that the hand is located in a pre-defined area of the to-be-processed image; and determining that the hand makes the target gesture.

Gesture recognition method and apparatus, electronic device, and storage medium

Embodiments of the present disclosure provide methods and apparatuses for obtaining sample images, and electronic devices. The method includes: acquiring images of stacked bodies, where the stacked bodies in different images have different item information, and the item information comprises: an attribute and a stacking mode of a stacked body; and taking an acquired image as a sample image when the acquired image meets an image quality condition.

Method and apparatus for obtaining sample images, and electronic device

Embodiments of the present specification provide a target recognition method, apparatus, and system. The method comprises: obtaining an image recognition result and a radio frequency recognition result of target objects in a target region, and then determining the distribution of the target objects in the target region according to the radio frequency recognition result and the image recognition result. Since the radio frequency recognition result and the image recognition result are fused, the target objects in the target region can be accurately recognized, so as to improve the recognition accuracy.

Method, apparatus, and system for recognizing target object

Disclosed are a target tracking method and apparatus, an electronic device, and a storage medium. The method includes: detecting a to-be-processed image to obtain a hand detection result; in response to the hand detection result including a bounding box of hand, determining a hand in the bounding box with a hand pose conforming to a hand pose in a target gesture as a target hand; and tracking the target hand in a video stream according to the target hand in the to-be-processed image, where images in the video stream and the to-be-processed image are obtained by capturing a same target area, and the images in the video stream are captured after the to-be-processed image is captured.

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Singapore, Singapore

Kaige Chen