S. C. J. Michael,
M. M. F. Lutnesky, and
IEEE Applied Imagery Pattern Recognition Workshop (AIPR),
Video object tracking has been used with great success in numerous applications ranging from autonomous vehicle navigation to medical image analysis. A broad and emerging domain for exploration is in the field of automatic video-based animal behavior understanding. Interesting, yet difficult-to-test hypotheses, can be evaluated by high-throughput processing of animal movements and interactions collected from both laboratory and field experiments. In this paper we describe BioSense, a new standalone software platform and user interface that provides researchers with an open-source framework for collecting and quantitatively analyzing video data characterizing animal movement and behavior (e.g. spatial location, velocity, region preference, etc.). BioSense is capable of tracking multiple objects in real-time, using various object detection methods suitable for a range of environments and animals. Real-time operation also provides a tactical approach to object tracking by allowing users the ability to manipulate the control of the software while seeing visual feedback immediately. We evaluate the capabilities of BioSense in a series of video tracking benchmarks representative of the challenges present in animal behavior research.
author = "J. Patman and S. C. J. Michael and M. M. F. Lutnesky and K. Palaniappan",
title = "BioSense: Real-Time Object Tracking for Animal Movement and Behavior Research",
year = 2018,
journal = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
publisher = "IEEE",
pages = "1-8",
month = "Oct",
keywords = "object-tracking, video analytics, animal behavior, automated data collection, tracking software",
doi = "10.1109/AIPR.2018.8707411",
url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=BioSense%3A+Real-Time+Object+Tracking+for+Animal+Movement+and+Behavior+Research&btnG="
J. Patman, S. C. J. Michael, M. M. F. Lutnesky, and K. Palaniappan. BioSense: Real-Time Object Tracking for Animal Movement and Behavior Research. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), IEEE, pages 1-8, October 2018.