A swarm-intelligence based algorithm for face tracking
International Journal of Intelligent Systems Technologies and Applications
Artificial creatures for object tracking and segmentation
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
A swarm cognition realization of attention, action selection, and spatial memory
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Parallel appearance-adaptive models for real-time object tracking using particle swarm optimization
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Tracking natural trails with swarm-based visual saliency
Journal of Field Robotics
Neural-swarm visual saliency for path following
Applied Soft Computing
Efficient multi-feature PSO for fast gray level object-tracking
Applied Soft Computing
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A solution based on a Swarm Intelligence metaphor with a prey-predator scheme is proposed for real time object tracking in video sequences, which is a basic process in multiple computer vision tasks. Swarm predator particles fly on a Boid-like fashion over image prey pixels, using combined image features to guide individual movement rules. Object tracking emerges from interaction between predator particles and their environment. The paper includes method's description and experimental evaluations on video streams that illustrate the efficiency of swarm based methods in different vision tasks.