By Peter Sturm (auth.), Pedro Real, Daniel Diaz-Pernil, Helena Molina-Abril, Ainhoa Berciano, Walter Kropatsch (eds.)

The quantity set LNCS 6854/6855 constitutes the refereed court cases of the overseas convention on laptop research of pictures and styles, CAIP 2011, which came about in Seville, Spain, August 29-31, 2011.

The 138 papers provided including 2 invited talks have been rigorously reviewed and chosen from 286 submissions. The papers are prepared in topical part on: movement research, photo and form types, segmentation and grouping, form restoration, kernel tools, scientific imaging, structural trend attractiveness, Biometrics, snapshot and video processing, calibration; and monitoring and stereo vision.

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Extra resources for Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part I

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MIRAGE 2007. LNCS, vol. 4418, pp. 150–160. Springer, Heidelberg (2007) 2. : Gait recognition using static, activity-specific parameters. In: Proc. CVPR, pp. 423–430 (2001) 3. : View-invariant estimation of height and stride for gait recognition. K. ) ECCV 2002. LNCS, vol. 2359, pp. 155–167. Springer, Heidelberg (2002) 4. : Body tracking in human walk from monocular video sequences. In: Proc. of CRV, pp. 144–151 (2005) 5. : Progressive human skeleton fitting. In: Proc. of ICVI, pp. 35–42 (2003) 6.

Fig. 1. 1 Trajectory Extraction First the trajectory extraction module is employed. Currently the customers’ trajectories are manually labeled, given that our goal consisted in the highlevel analysis of behavior. In our future work, trajectories will be extracted by adopting person detection and tracking. For this task we used our frame based annotation tool which enables both person and event annotation. 2 Trajectory Analysis Global motion analysis provides a first insight into customers’ shopping behavior.

We assume the ultimate goal of shopping is to buy a required product. Next the design of our system for automatic assessment of customers’ buying behavior is presented. We propose a modular approach and we describe next the functionality of each module. A diagram of the proposed system is shown in Fig. 1. Fig. 1. 1 Trajectory Extraction First the trajectory extraction module is employed. Currently the customers’ trajectories are manually labeled, given that our goal consisted in the highlevel analysis of behavior.

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