Efficient multiple object tracking using mutually repulsive active membranes.

ABSTRACT: Studies of social and group behavior in interacting organisms require high-throughput analysis of the motion of a large number of individual subjects. Computer vision techniques offer solutions to specific tracking problems, and allow automated and efficient tracking with minimal human intervention. In this work, we adopt the open active contour model to track the trajectories of moving objects at high density. We add repulsive interactions between open contours to the original model, treat the trajectories as an extrusion in the temporal dimension, and show applications to two tracking problems. The walking behavior of Drosophila is studied at different population density and gender composition. We demonstrate that individual male flies have distinct walking signatures, and that the socia

SUBMITTER: Deng Y 

PROVIDER: S-EPMC3683037 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature