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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fletcher, M. Dornhaus, A. Shin, M.C. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept of Computer Science, Univ of North Carolina at Charlotte, Charlotte, NC 28223 (Shin, M.C.) || Dept of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721 (Dornhaus, A.) || Dept of Computer Science, Colby College, Waterville, ME 04901 (Fletcher, M.) |
| Abstract | Motion and behavior analysis of social insects such as ants requires tracking many ants over time. This process is highly labor-intensive and tedious. Automatic tracking is challenging as ants often interact with one another, resulting in frequent occlusions that cause drifts in tracking. In addition, tracking many objects is computationally expensive. In this paper, we present a robust and efficient method for tracking multiple ants. We first prevent drifts by maximizing the coverage of foreground pixels at at global scale. Secondly, we improve speed by reducing markov chain length through dynamically changing the target proposal distribution for perturbed ant selection. Using a real dataset with ground truth, we demonstrate that our algorithm was able to improve the accuracy by 15% (resulting in 98% tracking accuracy) and the speed by 76%. |
| Starting Page | 570 |
| Ending Page | 576 |
| File Size | 1819115 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424494965 |
| ISSN | 15505790 |
| e-ISBN | 9781424494972 |
| DOI | 10.1109/WACV.2011.5711555 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-01-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Color Markov processes Pixel Proposals Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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