Traffic lights detection in adverse conditions using color, symmetry and spatiotemporal information

VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications

Volumn 1, Issue , 2012, Pages 620-627

  Siogkas, George ^a   Skodras, Evangelos ^a   Dermatas, Evangelos ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

Adverse conditions; Computer vision; Fast radial symmetry; Spatiotemporal persistency; Traffic light detection

Indexed keywords

ADVERSE CONDITIONS; ADVERSE WEATHER; ANNOTATED DATABASE; BLOOMING EFFECTS; FALSE POSITIVE; FAST RADIAL SYMMETRY TRANSFORM; GREEN REGIONS; HIGH DETECTION RATE; MONOCULAR VIDEO; PRE-PROCESSING; RADIAL SYMMETRYS; SPATIOTEMPORAL INFORMATION; SPATIOTEMPORAL PERSISTENCY; TRAFFIC LIGHT;

FACE RECOGNITION;

COMPUTER VISION;

EID: 84862118135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Barnes, N., & Zelinsky, A. (2004). Real-time radial symmetry for speed sign detection (pp. 566-571). Presented at the 2004 IEEE Intelligent Vehicles Symposium, IEEE. doi: 10.1109/IVS.2004.1336446
2. Barnes, N., Zelinsky, A., & Fletcher, L. S. (2008). Realtime speed sign detection using the radial symmetry detector. Intelligent Transportation Systems, IEEE Transactions on, 9(2), 322-332.
3. Chunhe Yu, Chuan Huang, & Yao Lang. (2010). Traffic light detection during day and night conditions by a camera (pp. 821-824). Presented at the 2010 IEEE 10th International Conference on Signal Processing (ICSP), IEEE. doi:10.1109/ICOSP.2010.5655934
4. de Charette, R., & Nashashibi, F. (2009a). Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates (pp. 358-363). Presented at the 2009 IEEE Intelligent Vehicles Symposium, IEEE. doi:10.1109/IVS. 2009.5164304
5. de Charette, R., & Nashashibi, F. (2009b). Traffic light recognition using image processing compared to learning processes (pp. 333-338). Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009, IEEE. doi:10.1109/IROS.2009.5353941
6. Illumination, I. C. on. (1978). Recommendations on uniform color spaces, color-difference equations, psychometric color terms. Bureau central de la CIE.
7. In-Hak, J., Seong-Ik, C., & Tae-Hyun, H. (2006). Detection of Traffic Lights for Vision-Based Car. Traffic, 4319/2006, 682-691. doi:10.1007/11949534- 68
8. Lindner, F., Kressel, U., & Kaelberer, S. (2004). Robust recognition of traffic signals (pp. 49-53). Presented at the 2004 IEEE Intelligent Vehicles Symposium, IEEE. doi:10.1109/IVS.2004.1336354
9. Loy, G., & Zelinsky, A. (2002). A fast radial symmetry transform for detecting points of interest. Computer Vision-ECCV 2002, 358-368.
10. Loy, G., & Zelinsky, A. (2003). Fast radial symmetry for detecting points of interest. IEEE Transactions on Pattern Analysis and Machine Intelligence, 959-973.
11. Omachi, M., & Omachi, S. (2009). Traffic light detection with color and edge information (pp. 284-287). Presented at the 2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009, IEEE. doi:10.1109/ICCSIT.2009.5234518
12. Robotics Centre of Mines ParisTech. (2010, May 1). Traffic Lights Recognition (TLR) public benchmarks [La Route Automatisée]. Retrieved October 6, 2011, from http://www.lara.prd.fr/benchmarks/trafficlightsrecognition
13. Siogkas, G. K., & Dermatas, E. S. (2006). Detection, Tracking and Classification of Road Signs in Adverse Conditions (pp. 537-540). Presented at the IEEE Mediterranean Electrotechnical Conference, MELECON 2006, Malaga, Spain. doi:10.1109/MELCON.2006.1653157
14. Soille, P. (1999). Morphological image analysis : principles and applications with 12 tables. Berlin [u.a.]: Springer.
15. Yehu Shen, Ozguner, U., Redmill, K., & Jilin Liu. (2009). A robust video based traffic light detection algorithm for intelligent vehicles (pp. 521-526). Presented at the 2009 IEEE Intelligent Vehicles Symposium, IEEE. doi:10.1109/IVS.2009.5164332