Multi-modal tracking of people using laser scanners and video camera

Authors:
Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki
Affiliations:
State Key Laboratory of Machine Perception, Peking University, Beijing, China;State Key Laboratory of Machine Perception, Peking University, Beijing, China;State Key Laboratory of Machine Perception, Peking University, Beijing, China;Centre for Spatial Information Science, University of Tokyo, Tokyo, Japan
Venue:
Image and Vision Computing
Year:
2008

Citing 6
Cited 11

The visual analysis of human movement: a survey

Computer Vision and Image Understanding
W4: Real-Time Surveillance of People and Their Activities

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion of Multiple Tracking Algorithms for Robust People Tracking

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Kernel-Based Object Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel-Based Bayesian Filtering for Object Tracking

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A novel system for tracking pedestrians using multiple single-row laser-range scanners

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Adaptive pyramid mean shift for global real-time visual tracking

Image and Vision Computing
Tracking of facial features to support human-robot interaction

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Vision and RFID data fusion for tracking people in crowds by a mobile robot

Computer Vision and Image Understanding
Multi-sensor people counting

IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Multi-robot multiple hypothesis tracking for pedestrian tracking

Autonomous Robots
Inexpensive ground truth and performance evaluation for human tracking using multiple laser measurement sensors

Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
GPS-based visual tracking for Pan/Tilt/Zoom camera in a ubiquitous camera environment

International Journal of Ad Hoc and Ubiquitous Computing
An online system for multiple interacting targets tracking: Fusion of laser and vision, tracking and learning

ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Moving object detection with laser scanners

Journal of Field Robotics
Automatic measuring system for railroad wheels

International Journal of Computer Applications in Technology
Adaptive method for improvement of human skin detection in colour images

International Journal of Computer Applications in Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Inspite extensive research on visual tracking of multiple people in computer vision area, the robustness and usability of visual trackers are still discouraging. Recently, a few laser-based detection and tracking methods have been developed in robotics area. However, poor features provided by laser data make the tracker fail in many situations. In this paper, we present a novel method that aims at reliably detecting and tracking multiple people in an open area. Multiple laser scanners and one camera are used as input sensors. In detection stage, laser-based detection algorithm captures newly appeared people and initializes the mean-shift-based visual tracker. In tracking stage, laser-based feet trajectory tracking result and visual body region tracking result are combined with a decision-level Bayesian fusion method. The experimental results demonstrate reliable and real-time performance of the method.