MultiObject Tracking Algorithm Based on Adaptive Mixed Filtering

Min, 梁敏 Liang; Guixi, 刘贵喜 Liu

doi:10.3788/aos20103009.2554

Cited by 1 publication

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“…F. L. Chang et al [1] combined two kinds of associated matrix, one was based on the target centroid distance in consecutive frames and the other was based on the area of crossing region. M. Liang [2] determined the matrix through the centroid distance and color feature. B. Wu [3] proposed a method based on principal color to overcome occlusion between the targets.…”

Section: Introductionmentioning

confidence: 99%

Multi-target tracking based on multi-feature associated matrix reasoning

Wang

et al. 2011

2011 4th International Congress on Image and Signal Processing

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In the video-based multi-target tracking, the uncertainty of the target moving states is the difficulty of multitarget tracking. At present, data association algorithm is commonly used to resolve this problem. Aiming at multi-target state judgment and occlusion problem, this paper proposes a multi-target tracking algorithm based on multi-feature associated matrix reasoning. This algorithm first applies the fusion of multiple visual features for target modeling. These features are complementary and redundancy to each other. And then deduce multi-target states through establishing multi-feature associated matrix. Finally judge and deal with concrete occlusions. Compared with traditional data association algorithms, this algorithm is more stable and real-time. The experimental results show that this algorithm can realize robust multi-target tracking in different states, and resolve the occlusion problem effectively.

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Section: Introductionmentioning

confidence: 99%

Multi-target tracking based on multi-feature associated matrix reasoning

Wang

et al. 2011

2011 4th International Congress on Image and Signal Processing

View full text Add to dashboard Cite

show abstract

MultiObject Tracking Algorithm Based on Adaptive Mixed Filtering

Cited by 1 publication

References 0 publications

Multi-target tracking based on multi-feature associated matrix reasoning

Multi-target tracking based on multi-feature associated matrix reasoning

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