IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Surveillance for Moving Vehicles
International Journal of Computer Vision - Special issue on a special section on visual surveillance
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
Using a genetic algorithm for multi-hypothesis tracking
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Split and Merge Data Association Filter for Dense Multi-target Tracking
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Automatic video segmentation using genetic algorithms
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Extending surveillance systems capabilities using BDI cooperative sensor agents
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Rao-Blackwellised particle filter for tracking with application in visual surveillance
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
A multitarget tracking video system based on fuzzy and neuro-fuzzy techniques
EURASIP Journal on Applied Signal Processing
Multi-agent framework in visual sensor networks
EURASIP Journal on Applied Signal Processing
The equation for response to selection and its use for prediction
Evolutionary Computation
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
IEEE Transactions on Evolutionary Computation
Hi-index | 0.00 |
In this work an efficient and robust technique of data association will be developed as a search in the hypotheses space defined by the possible association between detections and tracks. The full data association problem in visual tracking is formulated as a hypotheses search with a heuristic evaluation function to take into account structural and specific information such as distance, shape, colour, etc. This heuristic should represent the real problem so that its optimization leads to the solution of each situation. In order to guarantee performance in real time, the search process will have assigned a bounded amount of time to give the solution. The number of evaluations is restricted to accomplish this bound. The use of Estimation Distribution Algorithms (EDA) allows the application of an Evolutionary Computation technique to search in the hypothesis space. The performance of alternative algorithms used to provide the solution with this time constraint will be compared considering complex situations.