Segmentation and Tracking of Multiple Humans in Crowded Environments

Authors:
Tao Zhao;Ram Nevatia;Bo Wu
Affiliations:
-;-;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2008

Citing 0
Cited 30

Collaborative signal processing for target tracking in distributed wireless sensor networks

Journal of Parallel and Distributed Computing
Active Contour Tracking of Moving Objects Using Edge Flows and Ant Colony Optimization in Video Sequences

PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
A Fast Stereo-based System for Detecting and Tracking Pedestrians from a Moving Vehicle

International Journal of Robotics Research
Gaussian Approximation for Tracking Occluding and Interacting Targets

Journal of Mathematical Imaging and Vision
Patches-based Markov random field model for multiple object tracking under occlusion

Signal Processing
A video-based indoor occupant detection and localization algorithm for smart buildings

ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Video scene analysis of interactions between humans and vehicles using event context

Proceedings of the ACM International Conference on Image and Video Retrieval
Human detection in a challenging situation

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Segmenting and tracking multiple objects under occlusion using multi-label graph cut

Computers and Electrical Engineering
Path recovery of a disappearing target in a large network of cameras

Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
GPU-accelerated tracking of the motion of 3D articulated figure

ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Multi-person tracking with sparse detection and continuous segmentation

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Monocular 3D scene modeling and inference: understanding multi-object traffic scenes

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments

International Journal of Robotics Research
A method for counting moving people in video surveillance videos

EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Temporal accumulation of oriented visual features

Journal of Visual Communication and Image Representation
Occlusion management in sequential mean field Monte Carlo methods

IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Visual tracking of multiple targets by multi-bernoulli filtering of background subtracted image data

ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Practical computer vision: example techniques and challenges

IBM Journal of Research and Development
Pericles: a performance evaluation platform for indoor localization systems

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Automatic player detection, tracking and mapping to field model for broadcast soccer videos

Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Action recognition via bio-inspired features: The richness of center-surround interaction

Computer Vision and Image Understanding
Pedestrian counting in video sequences using optical flow clustering

ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
Visual tracking of numerous targets via multi-Bernoulli filtering of image data

Pattern Recognition
Pylon grid: A fast method for human head detection in range images

Neurocomputing
Multiple human tracking in high-density crowds

Image and Vision Computing
Inter-occlusion reasoning for human detection based on variational mean field

Neurocomputing
Navigation toward non-static target object using footprint detection based tracking

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Game-theoretical occlusion handling for multi-target visual tracking

Pattern Recognition
Exploiting projective geometry for view-invariant monocular human motion analysis in man-made environments

Computer Vision and Image Understanding

Quantified Score

Hi-index	0.14

Visualization

Abstract

Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model based approach to interpret the image observations by multiple, partially occluded human hypotheses in a Bayesian framework. We define a joint image likelihood for multiple humans based on the appearance of the humans, the visibility of body obtained by occlusion reasoning, and foreground/background separation. The optimal solution is obtained by using an efficient sampling method, data-driven Markov chain Monte Carlo (DDMCMC), which uses image observations for proposal probabilities. Knowledge of various aspects including human shape, camera model, and image cues are integrated in one theoretically sound framework. We present experimental results and quantitative evaluation, demonstrating that the resulting approach is effective for very challenging data.