Matches in SemOpenAlex for { <https://semopenalex.org/work/W2109591820> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2109591820 abstract "Object detection in still images is one of the common problems which is needed to be solved in a robust and reliable manner. Main focus on this work is the designing of classifiers based on Haar like simple features to obtain a good and efficient detection performance. This problem corresponds to the so called feature selection problem which is common in the pattern classifier systems. Classifiers used to detect objects are based on the simple Haar like features and these features are selected using systematic and general evolutionary based algorithm. The objective is to build a set of classifiers which respond stronger to the features present in object patterns than to non-object patterns, thereby improving the class discrimination between these two classes. This approach combines the classifier design with feature selection by using a genetic algorithm (GA). In the feature selection part of the algorithm a GA algorithm which the Haar features are encoded using their parameters in a single chromosome and optimized using genetic operators. During optimization the features which show similar characteristics in the parameter space are selected using a cluster based partitioning algorithm and thereby redundancy in the features is eliminated and a more compact Haar feature set can be obtained. Performances of the resulting chromosomes are measured using a fitness measure which is based on the separation of the two classes samples over a validation set. The resulting object detection structure is tested for near frontal face images in the cluttered background images" @default.
- W2109591820 created "2016-06-24" @default.
- W2109591820 creator A5059214657 @default.
- W2109591820 creator A5069051871 @default.
- W2109591820 date "2006-08-03" @default.
- W2109591820 modified "2023-09-23" @default.
- W2109591820 title "Object Detection Using Haar Feature Selection Optimization" @default.
- W2109591820 cites W2115763357 @default.
- W2109591820 cites W2164598857 @default.
- W2109591820 cites W2739698496 @default.
- W2109591820 doi "https://doi.org/10.1109/siu.2006.1659787" @default.
- W2109591820 hasPublicationYear "2006" @default.
- W2109591820 type Work @default.
- W2109591820 sameAs 2109591820 @default.
- W2109591820 citedByCount "3" @default.
- W2109591820 crossrefType "proceedings-article" @default.
- W2109591820 hasAuthorship W2109591820A5059214657 @default.
- W2109591820 hasAuthorship W2109591820A5069051871 @default.
- W2109591820 hasConcept C123134398 @default.
- W2109591820 hasConcept C148483581 @default.
- W2109591820 hasConcept C153180895 @default.
- W2109591820 hasConcept C154945302 @default.
- W2109591820 hasConcept C187029792 @default.
- W2109591820 hasConcept C2776151529 @default.
- W2109591820 hasConcept C31510193 @default.
- W2109591820 hasConcept C41008148 @default.
- W2109591820 hasConcept C4641261 @default.
- W2109591820 hasConcept C47432892 @default.
- W2109591820 hasConcept C52622490 @default.
- W2109591820 hasConcept C83665646 @default.
- W2109591820 hasConcept C95623464 @default.
- W2109591820 hasConceptScore W2109591820C123134398 @default.
- W2109591820 hasConceptScore W2109591820C148483581 @default.
- W2109591820 hasConceptScore W2109591820C153180895 @default.
- W2109591820 hasConceptScore W2109591820C154945302 @default.
- W2109591820 hasConceptScore W2109591820C187029792 @default.
- W2109591820 hasConceptScore W2109591820C2776151529 @default.
- W2109591820 hasConceptScore W2109591820C31510193 @default.
- W2109591820 hasConceptScore W2109591820C41008148 @default.
- W2109591820 hasConceptScore W2109591820C4641261 @default.
- W2109591820 hasConceptScore W2109591820C47432892 @default.
- W2109591820 hasConceptScore W2109591820C52622490 @default.
- W2109591820 hasConceptScore W2109591820C83665646 @default.
- W2109591820 hasConceptScore W2109591820C95623464 @default.
- W2109591820 hasLocation W21095918201 @default.
- W2109591820 hasOpenAccess W2109591820 @default.
- W2109591820 hasPrimaryLocation W21095918201 @default.
- W2109591820 hasRelatedWork W194819054 @default.
- W2109591820 hasRelatedWork W1974320997 @default.
- W2109591820 hasRelatedWork W2009549839 @default.
- W2109591820 hasRelatedWork W2023545023 @default.
- W2109591820 hasRelatedWork W2038732945 @default.
- W2109591820 hasRelatedWork W2063411532 @default.
- W2109591820 hasRelatedWork W2080996237 @default.
- W2109591820 hasRelatedWork W2098780951 @default.
- W2109591820 hasRelatedWork W2130560704 @default.
- W2109591820 hasRelatedWork W2130795389 @default.
- W2109591820 hasRelatedWork W2147474239 @default.
- W2109591820 hasRelatedWork W2153485504 @default.
- W2109591820 hasRelatedWork W2370246349 @default.
- W2109591820 hasRelatedWork W2460080471 @default.
- W2109591820 hasRelatedWork W2462558950 @default.
- W2109591820 hasRelatedWork W2465455192 @default.
- W2109591820 hasRelatedWork W2904952971 @default.
- W2109591820 hasRelatedWork W2906697237 @default.
- W2109591820 hasRelatedWork W2913370212 @default.
- W2109591820 hasRelatedWork W2110452356 @default.
- W2109591820 isParatext "false" @default.
- W2109591820 isRetracted "false" @default.
- W2109591820 magId "2109591820" @default.
- W2109591820 workType "article" @default.