ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
ACM Computing Surveys (CSUR)
Multi-Agents Systems for Intelligent Control of Traffic Signals
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
A cognitive surveillance system for detecting incorrect traffic behaviors
Expert Systems with Applications: An International Journal
A Context Model and Reasoning System to improve object trackingin complex scenarios
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A background subtraction algorithm for detecting and tracking vehicles
Expert Systems with Applications: An International Journal
Object, scene and actions: combining multiple features for human action recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Motion-based background subtraction using adaptive kernel density estimation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Tracking multiple humans in crowded environment
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Automatic detection of musicians' ancillary gestures based on video analysis
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Currently, an important demand for security exists in many fields. In the area of traffic safety, children are vulnerable elements because they may create a dangerous situation easily. Therefore, in this paper, we propose an intelligent surveillance system to detect, in real time, the danger due to the existence of unprotected children in traffic zones. We analyze the behavior of objects from video content analysis. The developed system is based on fuzzy rules for describing semantically the studied risk. The fuzzy logic provides a gradual danger detection. Besides, the model can be adjusted through membership functions to fuzzy concepts. The system is characterized by being highly scalable and flexible. Moreover, it is portable to any environment. We also highlight in our proposal the high-level tracking module developed, which is based on the classification of objects and 3D positioning. This tracking method is robust to errors that 2D tracking can present. The results obtained in the experimental stage show a high system performance.