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An improved method for multiple targets tracking
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AI
DOI：10.1007/s11771-012-1351-4.png)
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Abstract
En 中文
The difficulty of multiple targets tracking is how to quickly fulfill the target matching from one frame image to another and fix the position of the target. In order to accurately choose target feature information for reliable matching, simplify operations under the reliable precondition, and realize precise moving objects tracking, an approach based on Kalman prediction and feature matching was proposed. The position of the target in next frame image was predicted by Kalman, and then the moving objects of two adjacent frames were matched by the centroid and area methods. When occlusion occurs, the best matching result was found to realize tracking by matching matrix algorithm. The simulation results show that the proposed method can achieve multiple targets tracking accurately and in real-time under complicated motion movements.
Keywords:
Kalman prediction
feature matching
centroid and area matching equations
image occluded processing
matching matrix algorithm
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