Knowledge Resource Center for Ecological Environment in Arid Area
Animal Recognition in the Mojave Desert: Vision Tools for Field Biologists | |
Wilber, Michael J.; Scheirer, Walter J.; Leitner, Phil; Heflin, Brian; Zott, James; Reinke, Daniel; Delaney, David K.; Boult, Terrance E. | |
会议名称 | IEEE Workshop on Applications of Computer Vision (WACV) |
会议日期 | JAN 15-17, 2013 |
会议地点 | Clearwater, FL |
英文摘要 | The outreach of computer vision to non-traditional areas has enormous potential to enable new ways of solving real world problems. One such problem is how to incorporate technology in the effort to protect endangered and threatened species in the wild. This paper presents a snapshot of our interdisciplinary team's ongoing work in the Mojave Desert to build vision tools for field biologists to study the currently threatened Desert Tortoise and Mohave Ground Squirrel. Animal population studies in natural habitats present new recognition challenges for computer vision, where open set testing and access to just limited computing resources lead us to algorithms that diverge from common practices. We introduce a novel algorithm for animal classification that addresses the open set nature of this problem and is suitable for implementation on a smartphone. Further, we look at a simple model for object recognition applied to the problem of individual species identification. A thorough experimental analysis is provided for real field data collected in the Mojave desert. |
来源出版物 | 2013 IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION (WACV) |
ISSN | 1550-5790 |
出版年 | 2013 |
页码 | 206-213 |
EISBN | 978-1-4673-5053-2 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
收录类别 | CPCI-S |
WOS记录号 | WOS:000320392700028 |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS研究方向 | Computer Science ; Engineering |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/302121 |
推荐引用方式 GB/T 7714 | Wilber, Michael J.,Scheirer, Walter J.,Leitner, Phil,et al. Animal Recognition in the Mojave Desert: Vision Tools for Field Biologists[C]:IEEE,2013:206-213. |
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