Horse Detection Using Haar Like Features
Mohammad Salah Uddin, A. Y. Akhi · International Journal of Computer Theory and Engineering · 2015
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.