Translator Disclaimer
Paper
14 February 2015 Vehicle passes detector based on multi-sensor analysis
Author Affiliations +
Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944510 (2015) https://doi.org/10.1117/12.2181378
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy
Abstract
The study concerned deals with a new approach to the problem of detecting vehicle passes in vision-based automatic vehicle classification system. Essential non-affinity image variations and signals from induction loop are the events that can be considered as detectors of an object presence. We propose several vehicle detection techniques based on image processing and induction loop signal analysis. Also we suggest a combined method based on multi-sensor analysis to improve vehicle detection performance. Experimental results in complex outdoor environments show that the proposed multi-sensor algorithm is effective for vehicles detection.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Bocharov, D. Sidorchuk, I. Konovalenko, and I. Koptelov "Vehicle passes detector based on multi-sensor analysis", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944510 (14 February 2015); https://doi.org/10.1117/12.2181378
PROCEEDINGS
5 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Video-based parking occupancy detection
Proceedings of SPIE (March 19 2013)
Vehicle classification in video using virtual detection lines
Proceedings of SPIE (December 24 2013)
Parameterized sketches from stereo images
Proceedings of SPIE (March 14 2005)
Real time scene change detection assisted with camera 3A ...
Proceedings of SPIE (February 02 2011)
Video analysis for smart rooms
Proceedings of SPIE (July 20 2001)

Back to Top