A realtime system for shrug detection is discussed in this paper. The system is automatically initialized by a face detector based on Ada-boost[14]. After frontal face is localize...
Huazhong Ning, Tony X. Han, Yuxiao Hu, ZhenQiu Zha...
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
Object search in a visual scene is a highly challenging and computationally intensive task. Most of the current object detection techniques extract features from images for classi...