InteBOMB: Integrating generic object tracking and segmentation with pose estimation for animal behavior analysis.

ABSTRACT: Advancements in animal behavior quantification methods have driven the development of computational ethology, enabling fully automated behavior analysis. Existing multi-animal pose estimation workflows rely on tracking-by-detection frameworks for either bottom-up or top-down approaches, requiring retraining to accommodate diverse animal appearances. This study introduces InteBOMB, an integrated workflow that enhances top-down approaches by incorporating generic object tracking, eliminating the need for prior knowledge of target animals while maintaining broad generalizability. InteBOMB includes two key strategies for tracking and segmentation in laboratory environments and two techniques for pose estimation in natural settings. The "background enhancement" strategy optimizes foreground-bac

SUBMITTER: Zhai H 

PROVIDER: S-EPMC12000140 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature