By Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund
This ebook constitutes the completely refereed post-conference lawsuits of the second one foreign Workshop on task tracking by way of a number of dispensed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite tv for pc occasion of ICPR 2014, the twenty second overseas convention on development attractiveness. The nine revised complete papers integrated within the quantity examine the demanding situations that come up whilst disbursed sensor networks are used to trace, display screen, and comprehend the job, reason, and reasons of humans. program parts contain human-computer interplay, person interface layout, robotic studying, and surveillance.
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Extra resources for Activity Monitoring by Multiple Distributed Sensing: Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers
1058–1064 (2009) 16. : Viewindependent human motion classiﬁcation using image-based reconstruction. Image Vis. Comput. 27, 1194–1206 (2009) 17. : The ou-isir gait database comprising the treadmill dataset. IPSJ Trans. Comput. Vis. Appl. 4, 53–62 (2012) 18. : On a large sequence-based human gait database. In: Proceedings of RASC, pp. 66–72. Springer (2002) 19. : The cmu motion of body (mobo) database. Technical report CMU-RI-TR-01-18, Robotics Institute, Pittsburgh, PA (2001) 20. : A framework for evaluating the eﬀect of view angle, clothing and carrying condition on gait recognition.
43, 2119–2131 (2010) Topological Features for Monitoring Human Activities at Distance Javier Lamar Leon1(B) , Ra´ ul Alonso1 , Edel Garcia Reyes1 , and Rocio Gonzalez Diaz2 1 Patterns Recognition Department, Advanced Technologies Application Center, 7th A # 21406 e/ 214 y 216, Rpto. es Abstract. In this paper, a topological approach for monitoring human activities is presented. This approach makes possible to protect the person’s privacy hiding details that are not essential for processing a security alarm.
A framework for evaluating the eﬀect of view angle, clothing and carrying condition on gait recognition. In: 18th International Conference on Pattern Recognition, ICPR 2006, vol. 4, pp. 441–444 (2006) 21. : Human Identiﬁcation Based on Gait, vol. 4. Springer, New York (2006) 22. : The humanid gait challenge problem: data sets, performance, and analysis. IEEE Trans. Pattern Anal. Mach. Intell. 27, 162–177 (2005) 23. : Silhouette analysis-based gait recognition for human identiﬁcation. IEEE Trans.
Activity Monitoring by Multiple Distributed Sensing: Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund