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2007 IEEE International Conference on Vehicular Electronics and Safety
The focus of this work is on the problem of feature extraction for vehicle detection. Feature extraction is a key point of pattern recognition. In particular, we propose using improved wavelet feature extraction approaches based on HSV space for rear-vehicle detection. Wavelet features are attractive for vehicle detection because they form a compact representation, encode edges, capture information from multi-resolution, and can be computed efficiently. Currently, the wavelet features based ondoi:10.1109/icves.2007.4456370 fatcat:js4ut7sp25b6pcfpidy5l4zuvi