Kinematic based Human Motion Analysis in Infrared Sequences
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Automatic Camera Selection and Fusion for Outdoor Surveillance under Changing Weather Conditions
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Robust Detection of People in Thermal Imagery
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Multimedia surveillance systems
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Background subtraction for automated multisensor surveillance: a comprehensive review
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Poly-DWT: Polymorphic wavelet hardware support for dynamic image compression
ACM Transactions on Embedded Computing Systems (TECS)
Algorithms for a real-time HDR video system
Pattern Recognition Letters
INT3-Horus framework for multispectrum activity interpretation in intelligent environments
Expert Systems with Applications: An International Journal
Thermal cameras and applications: a survey
Machine Vision and Applications
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This paper presents an approach of fusing the information provided by visible spectrum video with that of thermal infrared video to tackle video processing challenges such as object detection and tracking for increasing the performance and robustness of the surveillance system. An enhanced object detection strategy using gradient information along with background subtraction is implemented with efficient fusion based approach to handle typical problems in both the domains. An intelligent fusion approach using Fuzzy logic and Kalman filtering technique is proposed to track objects and obtain fused estimate according to the reliability of the sensors. Appropriate measurement parameters are identified to determine the measurement accuracy of each sensor. Experimental results are shown on some typical scenarios of detection and tracking of pedestrians.