Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312492079> ?p ?o ?g. }
- W4312492079 endingPage "132030" @default.
- W4312492079 startingPage "132012" @default.
- W4312492079 abstract "Horses, workers or riders need safety in a farm or a riding club. On account of the great value of the horse, the breeder needs to protect it from theft and disease. In this context, it is important to detect and recognize the identity of each worker or rider and horse for security reasons. In fact, this paper proposes a Smart Riding Club Biometric System (SRCBS) consisting in automatically detecting and recognizing horses as well as humans. The proposed system is based on the facial biometrics for a horse as well as the human gait biometrics due to their simplicity and intuitiveness in an uncontrolled environment. This work suggests a Siamese network based on DenseNet features for human gait recognition, a Sparse Neural Network (SNN) based on sparse features for horse face detection and a horse face recognition method based on Gabor features, LDA and SVM. Because of the unavailability of horse databases, this paper presents a new benchmark for horse detection and recognition in order to evaluate our proposed system. The proposed systems achieved an average accuracy of gait recognition equal to 95% in the 0° view, 100% in the 90° view and 98.90% in the 180° view on Casia-B dataset, an average precision equal to 90% for horse face detection and a recognition rate equal to 99.89% for horse face identification." @default.
- W4312492079 created "2023-01-05" @default.
- W4312492079 creator A5026218367 @default.
- W4312492079 creator A5027895815 @default.
- W4312492079 creator A5049883830 @default.
- W4312492079 creator A5075416779 @default.
- W4312492079 creator A5087528753 @default.
- W4312492079 date "2022-01-01" @default.
- W4312492079 modified "2023-09-25" @default.
- W4312492079 title "Biometric-Based Security System for Smart Riding Clubs" @default.
- W4312492079 cites W1978151303 @default.
- W4312492079 cites W1996711358 @default.
- W4312492079 cites W2031489346 @default.
- W4312492079 cites W2062911701 @default.
- W4312492079 cites W2067896445 @default.
- W4312492079 cites W2107835824 @default.
- W4312492079 cites W2108598243 @default.
- W4312492079 cites W2124592697 @default.
- W4312492079 cites W2137401668 @default.
- W4312492079 cites W2146160246 @default.
- W4312492079 cites W2161969291 @default.
- W4312492079 cites W2183341477 @default.
- W4312492079 cites W2241909485 @default.
- W4312492079 cites W2281484990 @default.
- W4312492079 cites W2283525889 @default.
- W4312492079 cites W2288632406 @default.
- W4312492079 cites W2325939864 @default.
- W4312492079 cites W2523476423 @default.
- W4312492079 cites W2766739066 @default.
- W4312492079 cites W2786470017 @default.
- W4312492079 cites W2798307152 @default.
- W4312492079 cites W2888759338 @default.
- W4312492079 cites W2921985357 @default.
- W4312492079 cites W2963301258 @default.
- W4312492079 cites W2963446712 @default.
- W4312492079 cites W2963466847 @default.
- W4312492079 cites W2963746528 @default.
- W4312492079 cites W2964095005 @default.
- W4312492079 cites W2966138416 @default.
- W4312492079 cites W2969728738 @default.
- W4312492079 cites W2969985801 @default.
- W4312492079 cites W3033641034 @default.
- W4312492079 cites W3045381613 @default.
- W4312492079 cites W3082822460 @default.
- W4312492079 cites W3097096317 @default.
- W4312492079 cites W3097163581 @default.
- W4312492079 cites W3103032810 @default.
- W4312492079 cites W3113754481 @default.
- W4312492079 cites W3129050301 @default.
- W4312492079 cites W3157858360 @default.
- W4312492079 cites W3161368530 @default.
- W4312492079 cites W3164545085 @default.
- W4312492079 cites W3167046622 @default.
- W4312492079 cites W3170339174 @default.
- W4312492079 cites W3176707742 @default.
- W4312492079 cites W3180061397 @default.
- W4312492079 cites W3195852174 @default.
- W4312492079 cites W3201864842 @default.
- W4312492079 cites W3202075110 @default.
- W4312492079 cites W3203640349 @default.
- W4312492079 cites W3208737656 @default.
- W4312492079 cites W3702362 @default.
- W4312492079 cites W4206832536 @default.
- W4312492079 cites W4207075225 @default.
- W4312492079 cites W4211201856 @default.
- W4312492079 cites W4220668479 @default.
- W4312492079 cites W4281623363 @default.
- W4312492079 cites W4282972825 @default.
- W4312492079 cites W4285228717 @default.
- W4312492079 cites W4285285546 @default.
- W4312492079 cites W4308238328 @default.
- W4312492079 cites W4312320062 @default.
- W4312492079 cites W639708223 @default.
- W4312492079 doi "https://doi.org/10.1109/access.2022.3229260" @default.
- W4312492079 hasPublicationYear "2022" @default.
- W4312492079 type Work @default.
- W4312492079 citedByCount "0" @default.
- W4312492079 crossrefType "journal-article" @default.
- W4312492079 hasAuthorship W4312492079A5026218367 @default.
- W4312492079 hasAuthorship W4312492079A5027895815 @default.
- W4312492079 hasAuthorship W4312492079A5049883830 @default.
- W4312492079 hasAuthorship W4312492079A5075416779 @default.
- W4312492079 hasAuthorship W4312492079A5087528753 @default.
- W4312492079 hasBestOaLocation W43124920791 @default.
- W4312492079 hasConcept C119857082 @default.
- W4312492079 hasConcept C12267149 @default.
- W4312492079 hasConcept C151730666 @default.
- W4312492079 hasConcept C151800584 @default.
- W4312492079 hasConcept C153180895 @default.
- W4312492079 hasConcept C154945302 @default.
- W4312492079 hasConcept C184297639 @default.
- W4312492079 hasConcept C2779343474 @default.
- W4312492079 hasConcept C28490314 @default.
- W4312492079 hasConcept C31510193 @default.
- W4312492079 hasConcept C31972630 @default.
- W4312492079 hasConcept C38652104 @default.
- W4312492079 hasConcept C41008148 @default.
- W4312492079 hasConcept C71924100 @default.