Multi-Tracklet Tracking

• Multi-tracklet tracking is a technique that divides object trajectories into shorter segments (tracklets) to handle occlusion and improve tracking accuracy.
• It leverages algorithms such as belief propagation, JPDA, and MHT to effectively fuse these segments into continuous object tracks.
• This approach enhances multi-object tracking performance by addressing challenges in complex environments through robust tracklet association.

Searching arXiv for recent and foundational papers on multi-tracklet tracking and tracklet association. arxiv_search query="multi-tracklet tracking tracklet association multi-object tracking" max_results=10

arxiv_search query="tracklet association multi target tracking belief propagation JPDA MHT" max_results=10

arxiv_search query="sets of trajectories random finite set multi-target tracking tracklet association" max_results=10