View-Invariant Human Detection from RGB-D Data of Kinect Using Continuous Hidden Markov Model-Reference-Cited by-同舟云学术

View-Invariant Human Detection from RGB-D Data of Kinect Using Continuous Hidden Markov Model

Published:2014 Issue: Volume: Page:325-336
ISSN:0302-9743
Container-title:Human-Computer Interaction. Advanced Interaction Modalities and Techniques
language:
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Author:

Roy Sangheeta,Chattopadhyay Tanushyam

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-07230-2_32

Reference24 articles.

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2. Trinh, H., Fan, Q., Pankanti, S., et al.: Detecting Human Activities in Retail Surveillance Using Hierarchical Finite State Machine. In: Proc. ICASSP 2011, pp. 1337–1340 (2011)

3. Trinh, H., Fan, Q., Gabbur, P., Pankanti, S.: Hand tracking by binary quadratic programming and its application to retail activity recognition. In: Proc. CVPR 2012, pp. 1902–1909 (2012)

4. Gabbur, P., Pankanti, S., Fan, Q., Trinh, H.: A pattern discovery approach to retail fraud detection. In: Proc. KDD 2011, pp. 307–315 (2011)

5. Sinha, A., Chattopadhyay, T., Mallik, A.: Segmentation of Kinect Captured Images using Grid Based 3D Connected Component Labeling. In: Proc. VISAPP 2013, pp. 327–332 (2013)

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