Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for clustering data
Algorithms for clustering data
Fine-grained parallel genetic algorithms
Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Studies in artificial evolution
Studies in artificial evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Picture Segmentation by a Tree Traversal Algorithm
Journal of the ACM (JACM)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Pattern Recognition
Genetic Algorithms for Pattern Recognition
Genetic Algorithms
Digital Image Processing
Computer Vision
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A genetic algorithm based image segmentation for image analysis
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Image segmentation using evolutionary computation
IEEE Transactions on Evolutionary Computation
Detection of moving objects in video using a robust motion similarity measure
IEEE Transactions on Image Processing
The MPEG-4 video standard verification model
IEEE Transactions on Circuits and Systems for Video Technology
Automatic segmentation of moving objects for video object plane generation
IEEE Transactions on Circuits and Systems for Video Technology
Unsupervised video segmentation based on watersheds and temporal tracking
IEEE Transactions on Circuits and Systems for Video Technology
Video segmentation based on multiple features for interactive multimedia applications
IEEE Transactions on Circuits and Systems for Video Technology
Semiautomatic segmentation and tracking of semantic video objects
IEEE Transactions on Circuits and Systems for Video Technology
Image sequence processing using spatiotemporal segmentation
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Detected motion classification with a double-background and a neighborhood-based difference
Pattern Recognition Letters
Hardware implementation of a novel genetic algorithm
Neurocomputing
Optimizing parameters of a motion detection system by means of a distributed genetic algorithm
Image and Vision Computing
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Moving object detection using Markov Random Field and Distributed Differential Evolution
Applied Soft Computing
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This paper proposes a new video sequence segmentation method based on the genetic algorithm (GA) that can improve computational efficiency. The computation is distributed into chromosomes that evolve using distributed genetic algorithms (DGAs). Each chromosome consists of a label and feature vector. The label is used as the region number for the pixel where the chromosome is located. Based on the temporal correlation between two consecutive frames in a video sequence, the segmentation of a frame is successively obtained using the segmentation result of the previous frame. In addition to eliminating redundant computation, only unstable chromosomes corresponding to moving object parts are evolved. Experimental results confirm the effectiveness of the proposed method.