A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
W4S: A real-time system detecting and tracking people in 2 1/2D
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Camera-Based System for Tracking People in Real Time
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Accident analysis of a surveillance camera system through a frequency-based processing
WSEAS Transactions on Circuits and Systems
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In this paper, we propose a traffic management system which uses both audio and video data at intersections to prevent traffic congestion. A novel scheme of counting and tracking crowd with a single overhead camera is proposed for the purpose of real-time traffic control at crossings as well as for adjusting the carrier frequency using the video data. The system recognizes people movement along various directions estimating the possibility of traffic congestion. To carry out the tracking procedure, various temporal and spatial features of the images are used to identify the people in the crowd in order to predict the position of the objects in the current frame. Several issues such as emergence of people, departure of people, occlusions, and de-occlusions are resolved through interactions between regions and objects. With the help of audio data at counting region, we identify children by their voice using pitch analysis. The database constitutes of voices of speakers of all ages and of both genders. The paper also includes automated accident detection at the traffic intersections through use of audio data at intersections. It can classify the sounds into "crash", "power brake" and "normal traffic" sounds. The experimental results show the effectiveness of our framework.