An architecture for automatic gesture analysis
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards Real-Time Cue Integration by Using Partial Results
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Real-Time Facial Patterns Mining and Emotion Tracking
WAIM '02 Proceedings of the Third International Conference on Advances in Web-Age Information Management
Head tracking using shapes and adaptive color histograms
Journal of Computer Science and Technology
Tracking the human arm using constraint fusion and multiple-cue localization
Machine Vision and Applications
Reliable Tracking of Human Arm Dynamics by Multiple Cue Integration and Constraint Fusion
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Fast and efficient algorithm for face detection in colour images
Machine Graphics & Vision International Journal
Demonstrating the stability of support vector machines for classification
Signal Processing - Signal processing in UWB communications
Real-time hand tracking using a mean shift embedded particle filter
Pattern Recognition
An automatic cameraman in a lecture recording system
Proceedings of the international workshop on Educational multimedia and multimedia education
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Coupled grouping and matching for sign and gesture recognition
Computer Vision and Image Understanding
Real-Time Face Tracking and Recognition Based on Particle Filtering and AdaBoosting Techniques
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
Detecting skin in face recognition systems: A colour spaces study
Digital Signal Processing
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Real time face tracking with pyramidal Lucas-Kanade feature tracker
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Real time hand tracking by combining particle filtering and mean shift
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Fist tracking using bayesian network
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
A vision based game control method
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
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We designed a modular system using a combination of shape analysis, color segmentation and motion information for locating reliably heads and faces of different sizes and orientations in complex images. The first of the systems three channels does a shape analysis on gray-level images to determine the location of individual facial features as well as the outlines of heads. In the second channel the color space is analyzed with a clustering algorithm to find areas of skin colors. The color space is first calibrated, using the results from the other channels. In the third channel motion information is extracted from frame differences. Head outlines are determined by analyzing the shapes of areas with large motion vectors. All three channels produce lists of shapes, each marking an area of the image where a facial feature or a part of the outline of a head may be present. Combinations of such shapes are evaluated with n-gram searches to produce a list of likely head positions and the locations of facial features. We tested the system for tracking faces of people sitting in front of terminals and video phones and used it to track people entering through a doorway.