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Swarm behavior tracking based on a deep vision algorithm. (arXiv:2204.03319v1 [cs.CV])
April 8, 2022, 1:10 a.m. | Meihong Wu, Xiaoyan Cao, Shihui Guo
cs.CV updates on arXiv.org arxiv.org
The intelligent swarm behavior of social insects (such as ants) springs up in
different environments, promising to provide insights for the study of embodied
intelligence. Researching swarm behavior requires that researchers could
accurately track each individual over time. Obviously, manually labeling
individual insects in a video is labor-intensive. Automatic tracking methods,
however, also poses serious challenges: (1) individuals are small and similar
in appearance; (2) frequent interactions with each other cause severe and
long-term occlusion. With the advances of artificial …
More from arxiv.org / cs.CV updates on arXiv.org
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