Resolving partial occlusions in crowded environments utilizing range data and video cameras

Authors:
Dejan Arsic;Björn Schuller;Benedikt Hörnler;Gerhard Rigoll
Affiliations:
Institute for Human Machine Communication, Technische Universität München, Germany;Institute for Human Machine Communication, Technische Universität München, Germany;Institute for Human Machine Communication, Technische Universität München, Germany;Institute for Human Machine Communication, Technische Universität München, Germany
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

Citing 8
Cited 2

Digital image processing (2nd ed.)

Digital image processing (2nd ed.)
Digital image processing (3rd ed.): concepts, algorithms, and scientific applications

Digital image processing (3rd ed.): concepts, algorithms, and scientific applications
A Trainable System for Object Detection

International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Good Features to Track

Good Features to Track
Improved Adaptive Gaussian Mixture Model for Background Subtraction

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Object tracking with dynamic feature graph

ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Lateral and depth calibration of PMD-Distance sensors

ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
A multiview approach to tracking people in crowded scenes using a planar homography constraint

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV

3d gesture recognition applying long short-term memory and contextual knowledge in a CAVE

Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Real time person tracking and behavior interpretation in multi camera scenarios applying homography and coupled HMMs

COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment

Quantified Score

Hi-index	0.00

Visualization

Abstract

Video surveillance systems are omnipresent in our daily life, but still suffer from some drawbacks, which hardens the integration of fully automated systems. Currently standards CCD sensors are used to monitor public and private spaces. These are not yet able to resolve revere occlusions in narrow environments. Therefore we suggest the integration of 3D sensors, in particular a photonic mixture device, into current frameworks, in order to support the reliable detection and segmentation in dense situations. We propose the use of basic techniques to segment persons in range data, to guarantee real-time processing capabilities. With a reliable foreground segmentation and the computation of depth gradients the segmentation performance will drastically rise.