Title :
Image-based seat belt detection
Author :
Guo, Huiwen ; Lin, Hui ; Zhang, Shaohua ; Li, Shutao
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
This paper presents a novel method for the detection of seat belt in a monitoring image which contains the full scene information of the moving car. First, the driver area is located based on the vehicle outline. Then the potential seat belt edges are detected by an effective algorithm based on the direction information measure in the HSV color space, and the result is finally obtained by further verification of the edges. Experiments demonstrate the method makes a good performance even with noisy images.
Keywords :
edge detection; image colour analysis; object detection; road safety; traffic engineering computing; HSV color space; direction information measure; full scene moving car information; image-based seat belt detection; monitoring image; noisy images; seat belt edge detection; vehicle outline; edge detection; seat belt detection; windscreen location;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0576-2
DOI :
10.1109/ICVES.2011.5983807
