Emotion Recognition, 3-D Obstacle Detection, and Human Activity Monitoring

Prof. Salim Bouzerdoum, University of Wollongong, Australia

21 Jun 2013, 10:00–11:30; Location: S3|06-257

In this seminar, we will discuss a number of recent advances in visual pattern recognition and image classification. In particular, we will present three applications of visual pattern recognition: to emotion recognition, 3-D vision for assistive navigation, and human activity monitoring using Doppler radar. One of the challenges of visual pattern recognition is robustness to photometric and geometric distortions that occur in uncontrolled natural environments. We present a new paradigm for image recognition which combines feature extraction and classification in one hierarchical image classification architecture, and discuss its applications to face detection, gender recognition and emotion recognition.

Recently, we developed a 3-D vision system as an assistive navigation tool for the blind. The systems uses a 3-D range camera for scene segmentation, pedestrian classification, and object tracking. In this seminar we discuss some results on 3-D object segmentation, localisation and classification. The third part of the seminar presents an image-based approach for classification of micro-Doppler radar signatures. Identification of human activity using Doppler radar is emerging as a very important research area due to its potential civilian and military applications, including surveillance, search and rescue, and health care monitoring. In this seminar we present some results on human motion recognition.

Category: CE Seminar


Technische Universität Darmstadt

Graduate School CE
Dolivostraße 15
D-64293 Darmstadt

Phone+49 6151/16-24401
Fax -24404

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