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Edges detection in depth images for a gesture recognition application using a Kinect WSN

Ben Hadj Mohamed, Asma and Baghdadi, Amal and Val, Thierry and Andrieux, Laurent and Kachouri, Abdennaceur Edges detection in depth images for a gesture recognition application using a Kinect WSN. (2013) In: 5th International Conference on Web and Information Technologies (ICWIT 2013), 9 May 2013 - 12 May 2013 (Hammamet, Tunisia).

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Abstract

The detection of persons in an image has been the subject of several studies. Most of these works were done on images taken by cameras in visible light (RGB). In this paper, we are interested in people contours detection on the Kinect 3D images. We investigate the application of Gradient approach and optimal filters on depth images. We also use this detection to monitor the person via her gestures. Results show that edge detection of Canny is good for people in both light condition but, the performance of Sobel algorithm was better for the images taken in the dark depths.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01240707
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Sfax (TUNISIA)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:18 Nov 2015 14:44

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