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wosspaSS-ASPHB 2013 : special session on on Advances in Signal, Image and Video Processing for Analyzing Humans and Their Behaviors


When May 12, 2013 - May 15, 2013
Submission Deadline Jan 15, 2013
Notification Due Feb 15, 2013
Final Version Due Mar 15, 2013
Categories    biometrics   signal processing   machine learning   pattern recognition

Call For Papers

9th International Workshop on Systems, Signal Processing and their Applications (WOSSPA), on 12-15 May, 2013 in Zeralda, Algeria.

Special Session on "Advances in Signal, Image and Video Processing for Analyzing Humans and Their Behaviors"

Chairs: Abdenour Hadid (University of Oulu, Finland) and Najim Dehak (MIT, USA)

Analysis of humans and their behaviors play a key role inmany emerging applications including video surveillance, biometric recognition, affective human-computer interfaces and Kinect-based applications. This special issue invites authors to contribute with original articles dealing with the analysis of physical and behavioral human characteristics in real-world and challenging settings for future intelligent environments. For instance, a future smart environment should be able to determine whether a person is known or unknown (biometric recognition), a man or a woman (gender recognition), a child or an adult (age estimation), where is he looking at (gaze and pose estimation), is he a native or foreigner (ethnicity classification), what is he doing (behavior and activity analysis), what is his emotional state (emotion and facial expression analysis), is he standing or sitting (action recognition), does he look tired, bored, depressed, and all other kinds of information that allow the environment to adapt to the activities and to provide desired responses to relevant events.

The topics of interest for this special issue include, but are not limited to:Biometrics (e.g. face, voice, fingerprint, signature, gait, novel biometric modalities, multimodal systems, fusion techniques etc.), video surveillance (e.g. human detection and tracking, activity and action recognition, multi-camera systems, etc.),
human-machine interaction (emotion and facial expression recognition, gender recognition, age estimation, Kinect applications, etc.),embedded systems for human
analysis etc.

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