Animals in groups touch each other, move in paths that cross, and interact in complex ways.
Current video tracking methods sometimes switch identities of unmarked individuals during …

Understanding of animal collectives is limited by the ability to track each individual. We
describe an algorithm and software that extract all trajectories from video, with high …

An open vision problem is to automatically track the articulations of people from a video
sequence. This problem is difficult because one needs to determine both the number of …

A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization,
and following re-identification (re-ID) for object association. This pipeline is partially …

Recent investigations have shown the advantages of keeping multiple hypotheses during
visual tracking. In this paper we explore an alternative method that keeps just a single …

In this paper, we address the problem of automatically detecting and tracking a variable
number of persons in complex scenes using a monocular, potentially moving, uncalibrated …

Image-based tracking software are regarded as valuable tools in collective animal
behaviour studies. For such operations, image preprocessing is a prerequisite, and the …

One of the requirements for team sports analysis is to track and recognize players. Many
tracking and re-identification methods have been proposed in the context of video …

We address the problem of multi-person tracking in a complex scene from a single camera.
Although tracklet-association methods have shown impressive results in several challenging …

In this paper, we show that tracking multiple people whose paths may intersect can be
formulated as a multi-commodity network flow problem. Our proposed framework is …