A method of location the vehicle windshield region for vehicle occupant detection system

This paper investigates a maximum energy method to extract the windshield regions from the vehicles, proposed method combines the information of color (gray-scale), shape and complexity for location the vehicle windshield region, which can be applied vehicle occupant detection and recognition system successfully. Firstly, the mean-shift segmentation method is adopted to divide the vehicle image into several segments, and Hough transform method is adopted to extract the shape lines from edges of vehicle, these shape lines compose several trapezoids as candidate regions. Then, the maximum energy method is proposed to select final windshield region from the candidate regions. Finally, Histograms of Oriented Gradients (HOG) descriptors based method is adopted to detect the occupants in the extracted windshield regions.

[1]  Guohui Zhang,et al.  Impacts of High Occupancy Toll lane operations on High Occupancy Vehicle travelers , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[2]  J W Billheimer,et al.  USE OF VIDEOTAPE IN HOV LANE SURVEILLANCE AND ENFORCEMENT: A TECHNOLOGY SHARING PROJECT , 1990 .

[3]  David W. Roberts,et al.  Covert camera for screening of vehicle interiors and HOV enforcement , 2003, SPIE Defense + Commercial Sensing.

[4]  Xue Yuan,et al.  Performance Improvement on Edge-Based Human Detection Using Local Contrast Enhancement , 2011 .

[5]  Albert Gan,et al.  Vehicle Occupancy Data Collection Methods , 2005 .

[6]  Vassilios Morellas,et al.  A vehicle occupant counting system based on near-infrared phenomenology and fuzzy neural classification , 2000, IEEE Trans. Intell. Transp. Syst..

[7]  Yongyi Yang,et al.  Occupant Detection through Near-Infrared Imaging , 2011 .

[8]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Takayoshi Yamashita,et al.  Pedestrian Detection by Boosting-Based Feature Co-occurrence Representation , 2009 .

[10]  Zhenhai Gao,et al.  Vision detection of vehicle occupant classification with Legendre moments and Support Vector Machine , 2010, 2010 3rd International Congress on Image and Signal Processing.

[11]  Yongduan Song,et al.  Pedestrian Detection for Counting Applications Using a Top-View Camera , 2011, IEICE Trans. Inf. Syst..

[12]  Jason L. Speyer,et al.  A Vehicle Health Monitoring System Evaluated Experimentally on a Passenger Vehicle , 2005, CDC 2005.

[13]  Takaaki Hasegawa,et al.  A study on detection of vehicles' positions using HSV color transformed template images , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[14]  Shuicheng Yan,et al.  An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[15]  Yongduan Song,et al.  Automatic surveillance system using fish-eye lens camera , 2011 .

[16]  Na Yang,et al.  A near-infrared imaging method for capturing the interior of a vehicle through windshield , 2010, 2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI).

[17]  Li Jie An Algorithm of Occupants Detection Based on Face Detection and Fuzzy ART , 2007 .