A two-staged approach to vision-based pedestrian recognition using haar and HOG features

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2008, Pages 554-559

  Geismann, Philip ^a   Schneider, Georg ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b TRW   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCES; COMPLETE SYSTEMS; FAST SEARCHES; MOVING VEHICLES; RECOGNITION PERFORMANCES; RECOGNITION PROCESSES; RUN TIMES; SINGLE IMAGES; SYSTEM VERSIONS; TEMPORAL INFORMATIONS; TWO STAGES; VIDEO SEQUENCES; VISION-BASED;

FEATURE EXTRACTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; VIDEO RECORDING;

PEDESTRIAN SAFETY;

EID: 57749181937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621148     Document Type: Conference Paper

References (21)

1. K. Fuerstenberg and K. Ch and V. Willhoeft, "Pedestrian Recognition in Urban Traffic using a vehicle based Multilayer Laserscanner", Proceedings of IV 2002, 2002.
2. B. Elias and P. Mahonen, "Pedestrian Recognition Based on 3D Image Data", IEEE Symposium on Industrial Electronics, 2007.
3. M. Szarvas, U. Sakai and Jun Ogata, "Real-time Pedestrian Detection Using LIDAR and Convolutional Neural Networks", Intelligent Vehicles Symposium, 2006
4. S. Bota and S. Nedesvchi, "Multi-Feature Walking Pedestrian Detection Using Dense Stereo and Motion", WIT 2007, 2007.
5. D. Gavrila, "Pedestrian Detection from a Moving Vehicle", Proceedings of the 6th European Conference on Computer Vision-Part 2, 2000
6. P. Viola and M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", IEEE Conference On Computer Vision And Pattern Recognition, 2001.
7. U. Kadow, G. Schneider and A. Vukotich, "Radar-Vision based Vehicle Recognition with Evolutionary Optimized and Boosted Features", IEEE Intelligent Vehicles Symposium, 2007
8. P. Viola, M. Jones and D. Snow, "Detecting Pedestrians Using Patterns Of Motion And Appearance", International Journal of Computer Vision, 2005.
9. N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection", IEEE Conference On Computer Vision And Pattern Recognition, 2005.
10. D. Geronimo, A. Lopez, D. Ponsa and A. D. Sappa, "Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection", it Proceedings of the Iberian Conference on Pattern Recognition and Image Analysis, 2007.
11. Q. Zhu, S. Avidan, M. Yeh and K. Cheng: "Fast Human Detection Using a Cascade of Histograms of Oriented Gradients", IEEE Conference On Computer Vision And Pattern Recognition, 2006.
12. I. Laptev, "Improvements of Object Detection Using Boosted Histograms", Proceedings of the British Machine Vision Conference, 2006.
13. H. Jin, P. Favaro and S. Soatto, "A Semi-direct Approach to Structure from Motion", The Visual Computer, 192:1-18, 2003.
14. F. Porikli, "Integral histogram: a fast way to extract histograms in Cartesian spaces", IEEE Computer Society Conference on On Computer Vision And Pattern Recognition, 2005.
15. C.J.C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition", Data Mining and Knowledge Discovery, 1998.
16. L. Zhao and C. E. Thorpe: "Stereo and Neural Network-Based Pedestrian Detection", IEEE Transactions on Intelligent Transportation Systems, 2000.
17. G. Grubb, A. Zelinsky, L. Nilsson and M. Rilbe: "3D Vision sensing for improved pedestrian safety", IEEE Intelligent Vehicles Symposium, 2004.
18. D. Gavrila and S. Munder: "Multi-Cue Pedestrian Detection and Tracking from a Moving Vehicle", International Journal of Computer Vision, 2007.
19. A. Broggi, M. Bertozzi, A. Fascioli and M. Sechi: "Shape-based Pedestrian Detection", IEEE Intelligent Vehicles Symposium, 2000.
20. A. Shashua, Y. Gdalyahu and G. Hayun: "Pedestrian detection for driving assistance systems: single-frame classification and system level performance", IEEE Intelligent Vehicles Symposium, 2004.
21. D. Fernndez, I. Parra, M. A. Sotelo and P. Revenga: "Bounding Box Accuracy in Pedestrian Detection for Intelligent Transportation Systems", IEEE Industrial Electronics, IECON, 2006.