A commonly used approach for detecting objects is based on the techniques of “boosting” and “cascading”, which allow for real-time detection. In this paper I have developed a classifier for detecting horses from images or from real time video sources. For that purpose the Haar-like features were used to discriminate horses. Those features were used as input in a learning algorithm, based on AdaBoost, which selects a small number of critical visual features from a larger set and yields an extremely efficient classifier.
Horse Detection Using Haar Like Features / Uddin, MOHAMMAD SALAH; Akhi, A. Y.. - In: INTERNATIONAL JOURNAL OF COMPUTER THEORY AND ENGINEERING. - ISSN 1793-8201. - ELETTRONICO. - 8:5(2016), pp. 415-418. [10.7763/IJCTE.2016.V8.1081]
Horse Detection Using Haar Like Features
UDDIN, MOHAMMAD SALAH
;
2016
Abstract
A commonly used approach for detecting objects is based on the techniques of “boosting” and “cascading”, which allow for real-time detection. In this paper I have developed a classifier for detecting horses from images or from real time video sources. For that purpose the Haar-like features were used to discriminate horses. Those features were used as input in a learning algorithm, based on AdaBoost, which selects a small number of critical visual features from a larger set and yields an extremely efficient classifier.| File | Dimensione | Formato | |
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