Analyzing Video Sequences of Multiple Humans
Analyzing Video Sequences of Multiple Humans
POSTRACK: A Low Cost Real-Time Motion Tracking System for VR Application
VSMM '01 Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM'01)
ACM Computing Surveys (CSUR)
Movement-based interactive dance performance
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Real-time tracking of visually attended objects in interactive virtual environments
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
History: The use of the kalman filter for human motion tracking in virtual reality
Presence: Teleoperators and Virtual Environments
Classifying and tracking multiple persons for proactive surveillance of mass transport systems
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Real-time and markerless 3D human motion capture using multiple views
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Video security for ambient intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this work, an interactive entertainment system which employs multiple-human tracking from a single camera is presented. The proposed system robustly tracks people in an indoor environment and displays their predicted future footsteps in front of them in real-time. The system is composed of a video camera, a computer and a projector. There are three main modules: tracking, analysis and visualization. The tracking module extracts people as moving blobs by using an adaptive background subtraction algorithm. Then, the location and orientation of their next footsteps are predicted. The future footsteps are visualized by a high-paced continuous display of foot images in the predicted location to simulate the natural stepping of a person. To evaluate the performance, the proposed system was exhibited during a public art exhibition in an airport. People showed surprise, excitement, curiosity. They tried to control the display of the footsteps by making various movements.