Efficient region-based motion segmentation for a video monitoring system
Pattern Recognition Letters
A master-slave system to acquire biometric imagery of humans at distance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Using Intelligent Digital Cameras to Monitor Aerodrome Surface Traffic
IEEE Intelligent Systems
A video streaming application for urban traffic management
Journal of Network and Computer Applications
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Estimating Anomality of the Video Sequences for Surveillance Using 1-Class SVM
IEICE - Transactions on Information and Systems
IEEE Transactions on Circuits and Systems for Video Technology
Design and implementation of an optical flow-based autonomous video surveillance system
EuroIMSA '08 Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications
Use of nested K-means for robust head location in visual surveillance system
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Integrated video object tracking with applications in trajectory-based event detection
Journal of Visual Communication and Image Representation
Practical design and implementation of recognition assisted dynamic surveillance system
Computers and Electrical Engineering
Real time face detection system based edge restoration and nested k-means at frontal view
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Event-Based surveillance system for efficient monitoring
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Advanced formation and delivery of traffic information in intelligent transportation systems
Expert Systems with Applications: An International Journal
Adaptive frame synchronization for surveillance system across a heterogeneous network
Engineering Applications of Artificial Intelligence
Background independent moving object segmentation using edge similarity measure
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
| Hi-index | 0.00 |
This paper describes a visual surveillance system for remote monitoring of unattended outdoor environments. The system, which works in real time, is able to detect, localize, track, and classify multiple objects moving in a surveilled area. The object classification task is based on a statistical morphological operator, the statistical pecstrum (called specstrum), which is invariant to translations, rotations, and scale variations, and it is robust to noise. Classification is performed by matching the specstrum extracted from each detected object with the specstra extracted from multiple views of different real object models contained in a large database. Outdoor images are used to test the system in real functioning conditions. Performances about good classification percentage, false and missed alarms, viewpoint invariance, noise robustness, and processing time are evaluated