Detection of independent motion using directional motion estimation
Computer Vision and Image Understanding
Visual Surveillance for Moving Vehicles
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Part and Complement: Fundamental Concepts in Spatial Relations
Annals of Mathematics and Artificial Intelligence
A cooperative multiagent system for traffic management and control
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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
Video understanding for complex activity recognition
Machine Vision and Applications
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
Expert Systems with Applications: An International Journal
Intelligent automatic overtaking system using vision for vehicle detection
Expert Systems with Applications: An International Journal
A fuzzy aid rear-end collision warning/avoidance system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Vision-based active safety system for automatic stopping
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Collision among moving objects in space is one of the most common risks in daily life. In this context, we have developed an abstract model that allows to detect the presence of risk of future collisions among objects from the video content analysis. Our proposal carries out several stages. First, a camera calibration process calculates the real location of object in scene. Then, we estimate the object speed and their future trajectory in order to predict possible collisions. All the information of the objects is described in an ontology. Using the properties of objects (such as location, speed, trajectories), we have defined a fuzzy rule that permits to identify whether an object is in danger because another could hit him. The use of fuzzy logic results in two points: the collision detection is gradual and the model can be adjusted through membership functions to fuzzy concepts. Furthermore, the proposed model is easily adaptable to any situation and can be applied on various fields. With the aim of testing our proposal, we have focused on pedestrian accidents, a case of special interest since a lot of pedestrians die or are injured in traffic accidents daily. We have developed an application based on our model that is able to predict, in real time, the traffic accidents where a vehicle could run over a pedestrian. The obtained results in the experimental stage show a high performance of the system.