Learning pre-attentive driving behaviour from holistic visual features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6316 LNCS, Issue PART 6, 2010, Pages 154-167

  Pugeault, Nicolas ^a   Bowden, Richard ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ACTIVATION;

ACTION PREDICTION; ACTIVATION MAPS; DECISION STUMPS; DRIVING BEHAVIOUR; FALSE POSITIVE; IMAGE FEATURES; INPUT DIMENSIONS; VISUAL CONTEXT;

COMPUTER VISION;

EID: 78149347406     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15567-3_12     Document Type: Conference Paper

References (12)

1. Oliva, A., Torralba, A.: Modeling the shape of the scene: a holistic representation of the spatial envelope. International Journal of Computer Vision 42, 145-175 (2001) (Pubitemid 32680801)
2. Torralba, A.: Contextual priming for object detection. International Journal of Computer Vision 53, 169-191 (2003)
3. Siagian, C., Itti, L.: Rapid biologically-inspired scene classification using features shared with visual attention. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 300-312 (2007) (Pubitemid 46420889)
4. Douze, M., Jégou, H., Sandhwalia, H., Amsaleg, L., Schmid, C.: Evaluation of gist descriptors for web-scale image search. In: CIVR 2009: Proceedings of the ACM International Conference on Image and Video Retrieval (2009)
5. Torralba, A., Oliva, A., Castelhano, M., Henderson, J.: Contextual guidance of attention in natural scenes: The role of global features on object search. Psychological Review 113, 766-786 (2006) (Pubitemid 44629917)
6. Renninger, L., Malik, J.: When is scene identification just texture recognition? Vision Research 44, 2301-2311 (2004)
7. Siagian, C., Itti, L.: Biologically inspired mobile robot vision localization. IEEE Transactions on Robotics 25, 861-873 (2009)
8. Ackerman, C., Itti, L.: Robot steering with spectral image information. IEEE Transactions in Robotics 21, 247-251 (2005) (Pubitemid 40608455)
9. Kastner, R., Schneider, F., Michalke, T., Fritsch, J., Goerick, C.: Image-based classification of driving scenes by a hierarchical principal component classification (HPCC). In: IEEE Intelligent Vehicles Symposium, pp. 341-346 (2009)
10. Freund, Y., Schapire, R.: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55, 119-139 (1997) (Pubitemid 127433398)
11. Viola, P., Jones, M.: Robust real-time object detection. International Journal of Computer Vision 57, 137-154 (2001)
12. Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting. The Annals of Statistics 28, 337-407 (2000) (Pubitemid 33227445)