Carried Object Detection and Tracking Using Geometric Shape Models and Spatio-temporal Consistency-Reference-Cited by-同舟云学术

Carried Object Detection and Tracking Using Geometric Shape Models and Spatio-temporal Consistency

Published:2013 Issue: Volume: Page:223-233
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Tavanai Aryana,Sridhar Muralikrishna,Gu Feng,Cohn Anthony G.,Hogg David C.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-39402-7_23

Reference16 articles.

1. Benabdelkader, C., Davis, L.S.: Detection of people carrying objects: A motion-based recognition approach. In: Proc. Intl Conf. Automatic Face and Gesture Recognition, pp. 378–384 (2002)

2. Branca, A., Leo, M., Attolico, G., Distante, A.: Detection of objects carried by people. In: Proc. Int. Conf. Image Processing, vol. 3, pp. 317–320 (2002)

3. Cutler, R., Davis, L.: Robust real-time periodic motion detection, analysis, and applications. PAMI 22(8) (2000)

4. Damen, D., Hogg, D.: Detecting carried objects from sequences of walking pedestrians. PAMI 34(6), 1056–1067 (2012)

5. Felzenszwalb, P.F., Girshick, R.B., McAllester, D.A., Ramanan, D.: Object detection with discriminatively trained part-based models. PAMI 32(9), 1627–1645 (2010)

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