Shape-and-Behavior Encoded Tracking of Bee Dances

Behavior analysis of social insects has garnered impetus in recent years and has led to some advances in fields like control systems, flight navigation etc. Manual labeling of insect motions required for analyzing the behaviors of insects requires significant investment of time and effort. In this paper, we propose certain general principles that help in simultaneous automatic tracking and behavior analysis with applications in tracking bees and recognizing specific behaviors exhibited by them. The state space for tracking is defined using position, orientation and the current behavior of the insect being tracked. The position and orientation are parametrized using a shape model while the behavior is explicitly modeled using a three-tier hierarchical motion model. The first tier (dynamics) models the local motions exhibited and the models built in this tier act as a vocabulary for behavior modeling. The second tier is a Markov motion model built on top of the local motion vocabulary w...

• Type: Journal
• Year: 2008
• Where: PAMI
• Authors: Ashok Veeraraghavan, Rama Chellappa, Mandyam Srinivasan
• Keywords: Behavior, Behavior Analysis, Insect, PAMI 2008