Target tracking method and device, equipment and readable storage medium
A target tracking and target technology, applied in the field of target tracking, can solve the problems of inability to deal with complex scenes and poor robustness, and achieve the effect of accurate identification, strong discrimination ability, and improved accuracy.
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Embodiment 1
[0072] Such as figure 1 As shown, this embodiment provides a target tracking method, which includes step S1, step S2, step S3 and step S4.
[0073] Step S1, acquiring a video containing a target to be tracked;
[0074] Step S2, frame the image of the target in the first frame image of the video to obtain the first target image, use the first target image as a training sample, perform online training on the neural network model to obtain the initialization classification device model;
[0075] Step S3. Optimizing the initialized classifier model online based on the images after the first frame of images to obtain the optimized classifier model and the image where the optimization is stopped;
[0076] Step S4, using the optimized classifier model to search for the target in the image after the optimization is stopped, so as to track the target.
[0077] At present, the tracking of the target only uses the appearance features of the target area, and does not use the content of...
Embodiment 2
[0113] Such as figure 2 As shown, this embodiment provides an object tracking device, which includes a first acquisition module 701 , a training module 702 , an optimization module 703 and a tracking module 704 .
[0114] The first obtaining module 701 is configured to obtain a video containing a target to be tracked;
[0115] The training module 702 is configured to frame the image of the target in the first frame image of the video to obtain a first target image, and use the first target image as a training sample to perform online training on the neural network model Obtain the initialization classifier model;
[0116] The optimization module 703 is configured to optimize the initialized classifier model online based on images after the first frame of images, to obtain an optimized classifier model and an image where optimization is stopped;
[0117] The tracking module 704 is configured to use the optimized classifier model to find the target in the image after the opti...
Embodiment 3
[0143] Corresponding to the above method embodiments, the embodiments of the present disclosure further provide a target tracking device, and the target tracking device described below and the target tracking method described above may be referred to in correspondence.
[0144] image 3 is a block diagram of a target tracking device 800 shown according to an exemplary embodiment. Such as image 3 As shown, the target tracking device 800 may include: a processor 801 and a memory 802 . The object tracking device 800 may also include one or more of a multimedia component 803 , an input / output (I / O) interface 804 , and a communication component 805 .
[0145]Wherein, the processor 801 is used to control the overall operation of the object tracking device 800, so as to complete all or part of the steps in the above object tracking method. The memory 802 is used to store various types of data to support the operation of the object tracking device 800. These data, for example, may...
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