On face detection in the compressed domain
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Spatial-feature parametric clustering applied to motion-based segmentation in camouflage
Computer Vision and Image Understanding
Gesture Recognition for Visually Mediated Interaction
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Effective Tracking through Tree-Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Detection and tracking of humans and faces
Journal on Image and Video Processing - Regular
Face detection and tracking in video sequences using the modifiedcensus transformation
Image and Vision Computing
Face tracking using adaptive appearance models and convolutional neural network
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
A robust particle filter-based face tracker using combination of color and geometric information
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
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Robust tracking and segmentation of faces is a prerequisite for face analysis and recognition. In this paper, we describe an approach to this problem which is well suited to surveillance applications with poorly constrained viewing conditions. It integrates motion-based tracking with model-based face detection to produce segmented face sequences from complex scenes containing several people. The motion of moving image contours was estimated using temporal convolution and a temporally consistent list of moving objects was maintained. Objects were tracked using Kalman filters. Faces were detected using a neural network. The essence of the system is that the motion tracker is able to focus attention for a face detection network whilst the latter is used to aid the tracking process.