Online vehicle detection using Haar-like, LBP and HOG feature based image classifiers with stereo vision preselection

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2017, Pages 773-778

  Neumann, Daniel ^a   Langner, Tobias ^a   Ulbrich, Fritz ^a   Spitta, Dorothee ^a   Goehring, Daniel ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE CLASSIFICATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OBJECT DETECTION; OPTICAL CHARACTER RECOGNITION; PATTERN RECOGNITION; STEREO IMAGE PROCESSING; VEHICLES;

ACCURATE MODELING; AUTONOMOUS CAR; CLASSIFICATION ACCURACY; ENVIRONMENT SENSING; HAAR-LIKE FEATURES; IMAGE CLASSIFIERS; STEREOSCOPIC COMPUTER VISION; VEHICLE DETECTION;

STEREO VISION;

EID: 85028071983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2017.7995810     Document Type: Conference Paper

References (11)

1. L. Cai, L. He, Y. Xu, Y. Zhao, and X. Yang. Multi-object detection and tracking by stereo vision. Pattern Recogn., 43(12):4028-4041, Dec. 2010.
2. T. H. Cormen, C. Stein, R. L. Rivest, and C. E. Leiserson. Introduction to Algorithms. McGraw-Hill Higher Education, 2nd edition, 2001.
3. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR05)-Volume 1-Volume 01, CVPR 05, pages 886-893, Washington, DC, USA, 2005. IEEE Computer Society
4. R. K. Dewan and R. K. Barai. Fast kernel based object detection and tracking for stereo vision system.
5. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell., 32(9):1627-1645, Sept. 2010.
6. H. Hirschmuller. Accurate and efficient stereo processing by semiglobal matching and mutual information. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR05)-Volume 2-Volume 02, CVPR 05, pages 807-814, Washington, DC, USA, 2005. IEEE Computer Society
7. K. Konolige. Small vision system: Hardware and implementation. In Proc. of the Intl. Symp. of Robotics Research (ISRR, pages 111-116, 1997.
8. S. Kosov, T. Thormählen, and H.-P. Seidel. Accurate real-Time disparity estimation with variational methods. In Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I, ISVC 09, pages 796-807, Berlin, Heidelberg, 2009. Springer-Verlag.
9. S. Moqqaddem, A. Sbihi, R. Touahni, and Y. Ruichek. Objects Detection and Tracking Using Points Cloud Reconstructed from Linear Stereo Vision. INTECH Open Access Publisher, 2012.
10. T. Ojala, M. Pietikainen, and D. Harwood. Performance evaluation of texture measures with classification based on kullback discrimination of distributions. In Proc. 12th International Conference on Pattern Recognition (ICPR 1994), JerUSAlem, Israel, volume 1, pages 582-585. IEEE, 1994
11. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 1, pages I-511. IEEE, 2001