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2011 | OriginalPaper | Buchkapitel

2. Behaviour in Context

verfasst von : Shaogang Gong, Tao Xiang

Erschienen in: Visual Analysis of Behaviour

Verlag: Springer London

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Abstract

Interpreting behaviour from object action and activity is inherently subject to the context of a visual environment within which action and activity take place. Context embodies not only the spatial and temporal setting, but also the intended functionality of object action and activity. For instance, one recognises, often by inference, whether a hand-held object is a mobile phone or calculator by its relative position to other body parts such as closeness to the ears, even if they are visually similar and partially occluded by the hand. Similarly for behaviour recognition, the arrival of a bus in busy traffic is more likely to be inferred by looking at the passengers’ behaviour at a bus stop. Computer vision research on visual analysis of behaviour embraces a wide range of studies on developing computational models and systems for interpreting behaviour in different contexts. In this chapter, we introduce a range of established topics and emerging trends in visual analysis of behaviour from understanding facial expression, body gesture, action and intent, to the analysis of group activity, crowd and distributed behaviour, and gaining holistic awareness.

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Fußnoten
1
Many surveillance systems record videos at less than 5 frames per second (FPS), or compromise image resolution in order to optimise data bandwidth and storage space (Cohen et al. 2006; Kruegle 2006).
 
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Zurück zum Zitat Zhang, J., Gong, S.: Action categorisation by structural probabilistic latent semantic analysis. Comput. Vis. Image Underst. 114(8), 857–864 (2010a) Zhang, J., Gong, S.: Action categorisation by structural probabilistic latent semantic analysis. Comput. Vis. Image Underst. 114(8), 857–864 (2010a)
Zurück zum Zitat Zhang, J., Gong, S.: Action categorisation with modified hidden conditional random field. Pattern Recognit. 43(1), 197–203 (2010b) MATH Zhang, J., Gong, S.: Action categorisation with modified hidden conditional random field. Pattern Recognit. 43(1), 197–203 (2010b) MATH
Zurück zum Zitat Zhang, J., Zhou, S., McMillan, L., Comaniciu, D.: Joint real-time object detection and pose estimation using probabilistic boosting network. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–7 (2007) Zhang, J., Zhou, S., McMillan, L., Comaniciu, D.: Joint real-time object detection and pose estimation using probabilistic boosting network. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–7 (2007)
Zurück zum Zitat Zhang, Y., Ji, Q.: Active and dynamic information fusion for facial expression understanding from image sequences. IEEE Trans. Pattern Anal. Mach. Intell. 27(5), 1–16 (2005) MATH Zhang, Y., Ji, Q.: Active and dynamic information fusion for facial expression understanding from image sequences. IEEE Trans. Pattern Anal. Mach. Intell. 27(5), 1–16 (2005) MATH
Zurück zum Zitat Zhang, Z., Lyons, M.J., Schuster, M., Akamatsu, S.: Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron. In: IEEE International Conference on Automatic Face and Gesture Recognition, Nara, Japan, April 1998, pp. 454–459 (1998) Zhang, Z., Lyons, M.J., Schuster, M., Akamatsu, S.: Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron. In: IEEE International Conference on Automatic Face and Gesture Recognition, Nara, Japan, April 1998, pp. 454–459 (1998)
Zurück zum Zitat Zhang, Z., Hu, Y., Chan, S., Chia, L.: Motion context: a new representation for human action recognition. In: European Conference on Computer Vision, pp. 817–829 (2008) Zhang, Z., Hu, Y., Chan, S., Chia, L.: Motion context: a new representation for human action recognition. In: European Conference on Computer Vision, pp. 817–829 (2008)
Zurück zum Zitat Zheng, W., Gong, S., Xiang, T.: Associating groups of people. In: British Machine Vision Conference, London, UK, September 2009 Zheng, W., Gong, S., Xiang, T.: Associating groups of people. In: British Machine Vision Conference, London, UK, September 2009
Zurück zum Zitat Zhou, X., Collins, R., Kanade, T.: A master-slave system to acquire biometric imagery of humans at distance. In: International Workshop on Video Surveillance, pp. 113–120 (2003) Zhou, X., Collins, R., Kanade, T.: A master-slave system to acquire biometric imagery of humans at distance. In: International Workshop on Video Surveillance, pp. 113–120 (2003)
Metadaten
Titel
Behaviour in Context
verfasst von
Shaogang Gong
Tao Xiang
Copyright-Jahr
2011
Verlag
Springer London
DOI
https://doi.org/10.1007/978-0-85729-670-2_2