This paper introduces a real-time method to extract vehicles in road environment, and mainly includes four parts as follows: firstly, using Double Level background learning method to obtain a stable background image and get a rough vehicle area. Secondly, using HSV color space and texture characteristics of SILTP mixed constraint method to suppress the influence of shadow. Thirdly, using Energy Density Analysis to enhance the area-of-interest, and finally, showing some experimental results.
A HSV-SILTP Based Shadow Suppression Approach for Moving Vehicle Extraction
2013-07-01
602972 byte
Conference paper
Electronic Resource
English
Moving cast shadow suppression for vehicle detection
SPIE | 2005
|Improving Shadow Suppression in Moving Object Detection with HSV Color Information
British Library Conference Proceedings | 2001
|New Method of Shadow Elimination for Moving Vehicle
British Library Online Contents | 2005
|