A self-adaptive shielding detection system and method in video tracking

A technology of occlusion detection and video tracking, which is applied in the field of computer vision and can solve problems such as non-adaptiveness

Active Publication Date: 2019-06-14
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

However, this occlusion detection method includes too many predefined parameters, and it is not adaptive to different sequences and different targets

Method used

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  • A self-adaptive shielding detection system and method in video tracking
  • A self-adaptive shielding detection system and method in video tracking
  • A self-adaptive shielding detection system and method in video tracking

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Embodiment 1

[0048] An adaptive occlusion detection system in video tracking, comprising:

[0049] Background tracker, the background tracker uses Kernelized Correlation Filter (Kernelized CorrelationFilter) to track the small blocks in the "Occlusion Candidate Set" (OPC) in the target tracking result of the target tracker, and the weight of the filter can be obtained by the following formula :

[0050] w=argmin(∑(f(w,x i )-y i ) 2 +λ||w|| 2 ) (3)

[0051] where x i is the training sample, y i is the regression target, and λ is the regularization coefficient. via nonlinear mapping Transform the nonlinear relationship between the training samples and the regression target into a linear one, then α can be obtained by the following formula:

[0052] α=(K+λI) -1 Y (4)

[0053] where K is the kernel matrix, Choose an appropriate kernel function k(x i , x j ) can make the kernel matrix K diagonalized by discrete Fourier transform, then the solution of the correlation filter is:...

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Abstract

The invention provides a self-adaptive shielding detection system and method in video tracking, and the system comprises a background tracker which tracks a background small block of a shielding target and a background small block around the target according to a tracking result of the target tracker to the target; a shielding detector used for judging the position relation between the target andthe background small block according to the tracking results of the target tracker and the background tracker, and outputting the position of the background small block for shielding the target; a template updater used for calculating the shielding degree of the target, updating the target template when the shielding degree is smaller than a threshold value, and stopping updating the target template when the shielding degree is larger than or equal to the threshold value; and a search range predictor used for changing the tracking range of the target tracker to the target according to the shielding degree of the target. According to the invention, the background tracker is introduced to track the background small block, and the shielding information of the previous frame is utilized to setthe self-adaptive threshold value, so that the relationship between the background and the target can be judged better, and the shielding can be detected more accurately.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an adaptive occlusion detection system and method in video tracking. Background technique [0002] Video tracking is one of the most important research topics in the field of computer vision, and has important applications in scene monitoring, human-computer interaction, and medical images. Video tracking is to give the initial position of the target in the first frame of the video sequence, and the system predicts the position of the target in the subsequent frames. A video tracking system generally consists of five parts: motion model, feature extractor, observation model, model updater, and ensemble post-processor. Among them, the motion model generates candidate regions that may contain targets based on the estimation of previous frames; the feature extractor performs feature extraction on each candidate region; the observation model judges whether the candidate regi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/223
Inventor 乔宇谷月阳
Owner SHANGHAI JIAO TONG UNIV
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