Niching methods for genetic algorithms
Niching methods for genetic algorithms
Learning to Recognize Volcanoes on Venus
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Space Transformation Using Genetic Algorithms
IEEE Intelligent Systems
Learning a Sparse Representation for Object Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Genetic Programming with a Genetic Algorithm for Feature Construction and Selection
Genetic Programming and Evolvable Machines
Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
Feature selection based on rough sets and particle swarm optimization
Pattern Recognition Letters
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Streetscenes: towards scene understanding in still images
Streetscenes: towards scene understanding in still images
A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using learning to facilitate the evolution of features for recognizing visual concepts
Evolutionary Computation
Fast object detection using local feature-based SVMs
Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)
Pedestrian Detection via Classification on Riemannian Manifolds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Component Learning for Object Detection
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Detecting pedestrians at very small scales
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Feature construction and dimension reduction using genetic programming
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast rotation invariant multi-view face detection based on real adaboost
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Self-tuned Evolution-COnstructed features for general object recognition
Pattern Recognition
Automated fish taxonomy using evolution-constructed features
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Using the shadow as a single feature for real-time monocular vehicle pose determination
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Face recognition using the POEM descriptor
Pattern Recognition
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Improving Evolution-COnstructed features using speciation for general object detection
WACV '12 Proceedings of the 2012 IEEE Workshop on the Applications of Computer Vision
Visual Learning by Evolutionary and Coevolutionary Feature Synthesis
IEEE Transactions on Evolutionary Computation
BDPCA plus LDA: a novel fast feature extraction technique for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An unsupervised approach to feature discretization and selection
Pattern Recognition
Evolutionary feature selection via structure retention
Expert Systems with Applications: An International Journal
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This paper presents a novel approach for object detection using a feature construction method called Evolution-COnstructed (ECO) features. Most other object recognition approaches rely on human experts to construct features. ECO features are automatically constructed by uniquely employing a standard genetic algorithm to discover series of transforms that are highly discriminative. Using ECO features provides several advantages over other object detection algorithms including: no need for a human expert to build feature sets or tune their parameters, ability to generate specialized feature sets for different objects, and no limitations to certain types of image sources. We show in our experiments that ECO features perform better or comparable with hand-crafted state-of-the-art object recognition algorithms. An analysis is given of ECO features which includes a visualization of ECO features and improvements made to the algorithm.