Neeraj K. Kanhere, Ph.D.
Affiliations: | 2008 | Electrical & Computer Engineering | Clemson University, Clemson, SC, United States |
Area:
Electronics and Electrical EngineeringGoogle:
"Neeraj Kanhere"Parents
Sign in to add mentorStanley T. Birchfield | grad student | 2008 | Clemson University | |
(Vision-based detection, tracking and classification of vehicles using stable features with automatic camera calibration.) |
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Publications
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Kanhere NK, Birchfield ST, Sarasua WA, et al. (2010) Traffic monitoring of motorcycles during special events using video detection Transportation Research Record. 69-76 |
Kanhere NK, Birchfield ST. (2010) A taxonomy and analysis of camera calibration methods for traffic monitoring applications Ieee Transactions On Intelligent Transportation Systems. 11: 441-452 |
Atluri M, Chowdhury MA, Kanhere NK, et al. (2009) Development of a sensor system for traffic data collection Journal of Advanced Transportation. 43: 1-20 |
Kanhere NK, Birchfield ST, Sarasua WA. (2008) Automatic camera calibration using pattern detection for vision-based speed sensing Transportation Research Record. 30-39 |
Kanhere NK, Birchfield ST. (2008) Real-time incremental segmentation and tracking of vehicles at low camera angles using stable features Ieee Transactions On Intelligent Transportation Systems. 9: 148-159 |
Kanhere NK, Birchfield ST, Sarasua WA, et al. (2007) Real-time detection and tracking of vehicle base fronts for measuring traffic counts and speeds on highways Transportation Research Record. 155-164 |
Chowdhury MA, Sadek AW, Ma Y, et al. (2006) Applications of Artificial Intelligence Paradigms to Decision Support in Real-Time Traffic Management Transportation Research Record. 1968: 92-98 |
Kanhere NK, Birchfield ST, Sarasua WA. (2006) Vehicle segmentation and tracking in the presence of occlusions Transportation Research Record. 89-97 |
Kanhere NK, Pundlik SJ, Birchfield ST. (2005) Vehicle segmentation and tracking from a low-angle off-axis camera Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 1152-1157 |