Abstract: 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.

Abstract: Provided are a stacked object recognition method, apparatus and device, and a computer storage medium. The method includes that: an image to be recognized is acquired, the image to be recognized including an object sequence formed by stacking at least one object; edge detection and semantic segmentation are performed on the object sequence based on the image to be recognized to determine an edge segmentation image of the object sequence and a semantic segmentation image of the object sequence, the edge segmentation image including edge information of each object of the object sequence and each pixel in the semantic segmentation image representing a class of the object to which the pixel belongs; and the class of each object in the object sequence is determined based on the edge segmentation image and the semantic segmentation image.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed are a method and apparatus for filtering images and an electronic device. The method includes: obtaining a first image, where the first image is an image frame in a video stream obtained by collecting images of a target area; obtaining a first detection result of a target object in the first image by detecting the first image; determining a state of a target object with to-be-determined state according to the first detection result of the target object in the first image and a second detection result of the target object with to-be-determined state; and determining a quality level of an image in a bounding box of the target object with to-be-determined state according to the state of the target object with to-be-determined state, where the bounding box of the target object with to-be-determined state is determined according to the first detection result of the target object with to-be-determined state.

Abstract: 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.