Journal
INTERNATIONAL JOURNAL OF COMPUTER VISION
Volume 73, Issue 1, Pages 41-59Publisher
SPRINGER
DOI: 10.1007/s11263-006-9038-7
Keywords
multiple visual cues; pedestrian detection; intelligent vehicles
Categories
Ask authors/readers for more resources
This paper presents a multi-cue vision system for the real-time detection and tracking of pedestrians from a moving vehicle. The detection component involves a cascade of modules, each utilizing complementary visual criteria to successively narrow down the image search space, balancing robustness and efficiency considerations. Novel is the tight integration of the consecutive modules: (sparse) stereo-based ROI generation, shape-based detection, texture-based classification and (dense) stereo-based verification. For example, shape-based detection activates a weighted combination of texture-hased classifiers, each attuned to a particular body pose. Performance of individual modules and their interaction is analyzed by means of Receiver Operator Characteristics (ROCs). A sequential optimization technique allows the Successive combination of individual ROCs, providing optimized system parameter settings in a systematic fashion, avoiding ad-hoc parameter tuning. Application-dependent processing constraints can be incorporated in the optimization procedure. Results from extensive field tests in difficult urban traffic conditions suggest system performance is at the leading edge.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available