Making large-scale support vector machine learning practical
Advances in kernel methods
Pedestrian Detection from a Moving Vehicle
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Detecting Pedestrians Using Patterns of Motion and Appearance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Robust Real-Time Face Detection
International Journal of Computer Vision
Pedestrian detection and tracking with night vision
IEEE Transactions on Intelligent Transportation Systems
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In a pedestrian detection system, the application of color information can increase the detection rate; however, the detection speed will be slowed down a lot. This paper presents a fast pedestrian detection method using color information. It firstly scans a pair of sequential gray-scale frames to select candidates using both appearance and motion features; and then uses information of each color channel (RGB) to do a further confirmation with support vector machine based classifiers. Compared with pedestrian detection systems that only use gray-scale information, the system using our method has almost the same detection speed; at the same time, it also gets a better detection rate and false-positive rate. The experiment in a pedestrian detection system with a single optical camera proves the effectiveness of our method.