Tracking Multiple Humans in Complex Situations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Calibration of a reconfigurable array of omnidirectional cameras using a moving person
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
View independent vehicle/person classification
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Camera calibration and light source orientation from solar shadows
Computer Vision and Image Understanding
Euclidean path modeling for video surveillance
Image and Vision Computing
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance
Computer Vision and Image Understanding
Speed Performance Improvement of Vehicle Blob Tracking System
Multimodal Technologies for Perception of Humans
Single view geometry and active camera networks made easy
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
A New Optical Distortion Model for Multi-camera Calibration
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Robust vehicle blob tracking with split/merge handling
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Robust self-calibration from single image using RANSAC
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks
Computer Vision and Image Understanding
Robust height estimation of moving objects from uncalibrated videos
IEEE Transactions on Image Processing
From single cameras to the camera network: an auto-calibration framework for surveillance
Proceedings of the 32nd DAGM conference on Pattern recognition
Video mensuration using a stationary camera
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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Analysis of human activity from a video camera is simplified by the knowledge of the camera's intrinsic and extrinsic parameters. We describe a technique to estimate such parameters from image observations without requiring measurements of scene objects. We first develop a general technique for calibration using vanishing points and vanishing line. We then describe a method for estimating the needed points and line by observing the motion of a human in thescene. Experimental results, including error estimates, are presented.