Adaboost with "Keypoint Presence Features" for real-time vehicle visual detection

16th ITS World Congress

Volumn , Issue , 2009, Pages

  Bdiri, Taoufik ^a   Moutarde, Fabien ^a   Bourdis, Nicolas ^a   Steux, Bruno ^a  

^a PSL RESEARCH UNIVERSITY   (France)

Author keywords

Boosting; Image categorization; Interest points; Vehicle visual detection

Indexed keywords

ADAPTIVE BOOSTING; FEATURE EXTRACTION; INTELLIGENT SYSTEMS; SEMANTICS; STATISTICAL TESTS; TRAFFIC CONTROL; VEHICLES;

BOOSTING; DESCRIPTORS; IMAGE CATEGORIZATION; INTEREST POINTS; OBJECT CATEGORIES; PUBLIC IMAGE; VISUAL DETECTION; WEAK CLASSIFIERS;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 84954547869     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Freund Y., and Schapire R.E., "A decision-theoretic generalization of on-line learning and an application to boosting", 1995 European Conference on Computational Learning Theory, pages 23-37, 1995.
2. Viola P., and Jones M., "Rapid Object Detection using a Boosted Cascade of Simple Features", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2001), Volume 1, page 511, Kauai, Hawai, USA, 2001.
3. Munder S. and Gavrila D. M., "An Experimental Study on Pedestrian Classification". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, nr 11, pp. 1863-1868, 2006.
4. Zhu Q., Yeh M.-C., Kwang-Ting Cheng K.-T., and Avidan S., "Fast Human Detection Using a Cascade of Histograms of Oriented Gradients", proceedings of 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), held in New York, NY, USA, 17-22 June 2006.
5. Pettersson N., Petersson L. and Andersson L., "The Histogram Feature - A Resource-Efficient Weak Classifier", proc. IEEE Intelligent Vehicles Symposium (IV 2008), Eindhoven (Nederland), June 2008.
6. Abramson Y., Steux B., and Ghorayeb H., "YEF (Yet Even Faster) Real-Time Object Detection", 2005 Proceedings of International Workshop on Automatic Learning and Real-Time (ALART'05), Siegen, Germany, page 5, 2005.
7. Moutarde F., Stanciulescu B., and Breheret A., "Real-time visual detection of vehicles and pedestrians with new efficient adaBoost features", proceedings of 'Workshop on Planning, Perception and Navigation for Intelligent Vehicles (PPNIV)' of "2008 International Conference on Intelligent RObots and Systems (IROS'2008)", Nice, France, 26 sept 2008.
8. Opelt A., Pinz A., Fussenegger M., and Auer P., "Generic Object Recognition with Boosting", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 28, No. 3, March 2006.
9. Lowe, D. "Distinctive Image Features from Scale-Invariant Keypoints" International Journal of Computer Vision, Vol. 60, pp. 91-110, Springer, 2004.
10. Bay H., Tuytelaars T. & Gool L. V., "SURF: Speeded Up Robust Features", Proceedings of the 9th European Conference on Computer Vision (ECCV'2006), Springer LNCS Volume 3951, part 1, pp 404-417, 2006.
11. Hamdoun O., Moutarde F., Stanciulescu B. and Steux B., "Interest points harvesting in video sequences for efficient person identification", proceedings of '8th international workshop on Visual Surveillance (VS2008)' of "10th European Conference on Computer Vision (ECCV'2008)", Marseille, France, 17 oct. 2008.
12. Agarwal S., Aatif Awan A., and Roth D., "Learning to Detect Objects in Images via a Sparse, Part-Based Representation", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, nr 11, pp. 1475-1490, 2004.