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Spatiotemporal context visual tracking method with fusion of particle filtering

A spatiotemporal context, particle filter algorithm technology, applied in the field of image processing, can solve problems such as tracking drift

Inactive Publication Date: 2018-07-24
重庆信科设计有限公司
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of problem that the STC algorithm is easy to produce tracking drift when the target is in occlusion and complex background, and proposes a spatio-temporal context visual tracking method fused with particle filter

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Embodiment Construction

[0054] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0055] The technical scheme that the present invention solves the problems of the technologies described above is:

[0056] The invention discloses a spatio-temporal context visual tracking method fused with particle filter, such as figure 1 As shown, the specific steps are as follows:

[0057] Step 1: In the video target tracking, initialize the image information of the first frame, and automatically select the rectangular area where the target in the first frame is located by setting the experimental parameters, including:

[0058] The parameters in the target confidence map function are α=2.25, β=1, and the learning rate factor ρ is the same as the parameter value in the STC algorithm, which is also 0...

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Abstract

The invention claims for protection of a spatiotemporal context visual tracking method with fusion of particle filtering. According to the method, first frame of image information is initialized, experimental parameters are set, and then a rectangular region in which a first frame of target is located is automatically selected; whether the target is blocked is determined by using a Bhattacharyya coefficient as a base; and when the target is blocked, a location and a motion track of the target at a follow-up image frame are estimated and predicted by introducing a particle filter algorithm, thereby realizing precise tracking of the target. Therefore, the method is suitable for visual target tracking under complicated background like illumination changing, target rotation, and background region interference; the robustness of target blocking is high and the real-time requirement is met.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a spatio-temporal context visual tracking method fused with particle filters. Background technique [0002] Visual tracking is one of the research hotspots in the fields of computer vision, image processing, and pattern recognition, and it is widely used in video surveillance, human-machine interface, and medical imaging. In recent years, visual tracking technology has attracted extensive attention from academia and industry. Through unremitting efforts, researchers at home and abroad have proposed tracking-learning-detection (Tracking-Learning-Detection, TLD), compressed tracking (Compressive Tracking, CT), Kernelized Correlation Filter (KCF) and Spatio-Temporal Context (STC) and other excellent visual tracking algorithms. However, in the actual tracking process, on the one hand, the target may be deformed or rotated, and on the other hand, due to the influ...

Claims

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Application Information

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IPC IPC(8): G06T7/277
CPCG06T2207/10016G06T2207/30241G06T7/277
Inventor 文武伍立志廖新平
Owner 重庆信科设计有限公司
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