Abstract: In order to design a moving target tracking algorithm with respect to real-time and stable
tracking process, an approach named background suppression multiple filtering (BSMF) was
proposed, which researched the problem of computing target center position, dynamic matching
temple update, and scale-variant. Firstly, the algorithm maps the RGB figure of target area to 11
dimension color vectors to extract target main color describe vectors, get a background suppression
weighted matrix, and then it multiplies with the gray tracking area pix matrix, the target center
position in tracking area was calculated by correlation filter method after background suppression.
Finally, located target area was calculated by pyramid-filter to get scale change coefficient.
Meanwhile, BSMF algorithm was used to decrease various interference factors mixing up in matching
template by dynamic matching template strategy. And the algorithm could achieve 17 FPS when run
at Raspberry Model 3 and tracking performance is better than other algorithms which have the same
computational complexity.

Key words: background suppression, multiple filtering, object tracking, correlation filter, dynamic learning