Adaptive multi-strategy for multi-vehicle with mutual occlusion tracking
Jie Yin, Guangling Sun · 2014
Multi-vehicle with mutual occlusion tracking is a great challenging task. In this paper, we present a novel scheme based on adaptive multi-strategy to cope with this problem. First, a rule that determines the relation and degree of occlusion among different vehicles is proposed. The rule will output three cases: the first is severely occluded vehicle, the second is partially occluded vehicle and the third is non-occluded vehicle. And then, for the three cases, different tracking approaches are adopted: for the first case, a trace prediction based method using motion features is employed. For the latter two cases, dictionary and l2regularized collaborative representation based method is employed. During tracking, only background dictionary is updated. The experimental results have demonstrated the promising results for multi-vehicle with mutual occlusion tracking.