44results about How to "Tracking results are accurate" patented technology

The embodiment of the invention provides an object tracking method and a device, and the method comprises the steps: obtaining a plurality of frames of first images photographed by a first photographing device and the first photographing moment of each frame of first image, and the first image comprises a first object; obtaining a plurality of frames of second images shot by a second camera deviceand a second shooting moment of each frame of second image, wherein the second image comprises a second object; obtaining the distance between the first camera device and the second camera device; and judging whether the first object and the second object are the same object according to the multiple frames of first images, the first shooting moment of each frame of first image, the multiple frames of second images, the second shooting moment of each frame of second image and the distance. According to the object tracking method and the device provided by the embodiment of the invention, theproblem that the robustness of the existing scheme is poor due to the fact that the existing scheme is greatly influenced by the image shooting angle can be solved, and the tracking result is more accurate.

The invention discloses a multi-target tracking method based on fusion detection technology. The method firstly models the surveillance video and pictures, outputs the category and location information of the concerned target stably and accurately, and tracks them. Specifically, first classify and locate the target in the picture through the target detector, and then use the tracker based on motion modeling to continuously predict the target trajectory, and then input the detection area and motion prediction area into the shape feature acquisition network to obtain their respective Based on the matching features of the target position and matching features, the data association between the two and the correction of the final tracking result box are completed. This method can detect target information accurately and quickly. At the same time, the motion prediction position and matching feature network make full use of the target motion and shape features, and the result of multi-target tracking is more accurate through matching and frame correction.

The invention belongs to the visual tracking field and relates to an adaptive sub-block screening-based multi-clue visual tracking method. The method comprises the following steps that: (1) saliency detection is performed on a target region, uniform block division is used in combination, so that candidate sub-blocks can be obtained; (2) multi-scale sampling is performed on the candidate sub-blocks, sub-blocks with large frequency-domain response and the corresponding scales of the sub-blocks are determined, and a candidate sub-block set is updated; (3) motion estimation is performed on the sub-blocks in the candidate sub-block set, and the current location of a tracking target is determined through the multi-clue fusion of the sub-blocks; and (4) a Gaussian kernel corresponding to the location of each sub-block is updated through the current location of the target, and sub-blocks which do not satisfy requirements are re-initialized. According to the adaptive sub-block screening-based multi-clue visual tracking method of the invention adopted, the interference of background can be removed, the visual constraints of middle-level features and the priori constraints of high-level languages are fully utilized, so that the locating of the target is more accurate. The adaptive sub-block screening-based multi-clue visual tracking method has the advantages of simple steps and small computation amount, and is suitable for performing visual target tracking under a blocking condition.