Vision-based vehicle detection for nighttime with discriminately trained mixture of weighted deformable part models

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2011, Pages 1560-1565

  Niknejad, Hossein Tehrani ^a   Mita, Seiichi ^a   McAllester, David ^b   Naito, Takashi ^c  

^a TOYOTA TECHNOLOGICAL INSTITUTE   (Japan)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

^c Rd Management Section   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMABLE OBJECT; INFRA-RED CAMERAS; LOW VISIBILITY; MEDIUM RANGE; NIGHT TIME; URBAN ENVIRONMENTS; URBAN SCENES; VEHICLE DETECTION; VISION-BASED VEHICLE DETECTION;

DEFORMATION; INTELLIGENT SYSTEMS;

VEHICLES;

EID: 83755188344     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2011.6082826     Document Type: Conference Paper

References (11)

1. Z. Sun, G. Bebis and R. Miller, "On-road vehicle detection: a review, IEEE Trans. Pattern Recognition and Machine Intelligence, vol. 28, no. 5, pp. 694-711, May 2006.
2. R. Cucchiara and M. Piccardi, "Vehicle Detection under Day and Night Illumination," in Proc. of ILA '99 - Third Int. ICSC Symp. on Intelligent Industrial Automation, Special Session on Vision Based Intelligent Systems for Surveillance and Traffic Control, pp. 789-794, 1999.
3. I. Cabani, G. Toulminet, and A. Bensrhair. "Color-based detection of vehicle lights," in Proc. IEEE Intelligent Vehicle Symposium (IV)., Jun 2005, pp. 278-283.
4. J. Firl, M. H. Hoerter, M. Lauer, and C. Stiller, "Vehicle detection, classification and position estimation based on monocular video data," Automotive Lighting, Darmstadt Sept. 2009.
5. R. de Charette, and F. Nashashibi, "Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates," in Proc. IEEE Intelligent Vehicle Symposium (IV), Jun 2009, pp.278-283.
6. T.-H. Chen, L-L. Chen, C.-H. Chen, and C.-M. Chang, "Vehicle detection and counting by using headlight information in the dark environment," IIHMSP 2007. Third International Conference on, vol. 2, pp. 519-522, Nov. 2007.
7. A. Zisserman. PASCAL Visual Object Classes Challenge 2008 (VOC2008) Results. [online] Available. http://www.pascal-network. org/challenges/VOC/ voc2008/workshop/index.html, 2008.
8. P. Felzenszwalb, D. McAllester and D. Ramaman, "A Discriminatively Trained, Multiscale, Deformable Part Model," Proceedings of the IEEE CVPR 'pp. 1-8, 2008.
9. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection." Proc. of Computer Vision and Pattern Recognition (CVPR) vol. 1, pp. 886-893, June 2005. (Pubitemid 43897286)
10. P. F. Felzenszwalb, D. McAllester, and D. Ramanan, "Object detection with discriminatively trained part-based models," IEEE Pattern Analysis and Machine Intelligence (PAMI), vol. 32, no. 9, pp. 1627-1645, 2010.
11. S. Shalev-Shwartz, Y. Singer, and N. Srebro, "Pegasos: Primal estimated sub-gradient solver for SVM," in International Conference on Machine Learning, pp. 807-814, 2007.