Tracking-based deer vehicle collision detection using thermal imaging

Debao Zhou, Matt Dillon, Eil Kwon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Deer vehicle collision (DVC) is constantly a major safety issue for the driving on rural road. It is estimated that there are over 35,000 DVCs yearly in the US resulting in about 200 deaths and close to 4,000 reported property damages of one thousand dollars or more. This justifies many attempts trying to detect deer on road. However, very little success has been achieved. In order to reduce the number of DVCs, this work focused on the study of using an infrared thermal camera with tracking system to detect the presence of deer to avoid DVCs. The prototype consists of an infrared thermal temperature image grabbing and processing system, which includes an infrared thermal camera, a frame grabber, an image processing system and a motion tracking system, which includes two motors with their motion control system. By analyzing the infrared thermal images which are independent of visible light, the presence of an animal can be determined in either night or day time through pattern recognition and matching.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009
Pages688-693
Number of pages6
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009 - Guilin, China
Duration: Dec 19 2009Dec 23 2009

Publication series

Name2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

Other

Other2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009
CountryChina
CityGuilin
Period12/19/0912/23/09

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