Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking human motion in an indoor environment
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Tracking Human Motion Using Multiple Cameras
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A Camera-Based System for Tracking People in Real Time
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Real-Time Self-Calibrating Stereo Person Tracking Using 3-D Shape Estimation from Blob Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Human Detection using Geometrical Pixel Value Structures
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Pedestrian Detection in Crowded Scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Counting People from Multiple Cameras
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
On automated model-based extraction and analysis of gait
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Tracking humans using prior and learned representations of shape and appearance
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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This paper describes a method for estimating human distributions (quantities and locations) based on multiple-viewpoint image sequences. In the field of human image analysis, inter-human occlusion is a significant problem: when a scene includes a large number of occlusions, tracking of individual persons becomes difficult. Therefore, updating a tracking-based model is not enough to estimate the distribution in complex scenes. In our method, the number of persons and their locations are directly estimated from a set of input images based on the fitting of a projected shape model. The model’s complexity (number of persons) is determined based on the MDL (minimum description length) criterion. In addition, the image areas occluded by static objects are also detected and automatically excluded from the human distribution computations. We confirmed the feasibility of the proposed method through experiments using both synthesized and real images. Results show the effectiveness of our method.