Computer vision techniques capable of detecting human behavior are gaining interest.
Several researchers have provided their review on behavior detection, however most of the …

Significant efforts have been made to monitor human activity, although it remains a
challenging area for computer vision research. This paper has introduced a framework to …

In this study, we present a method for human activity recognition in video sequences.
Human activities are often described by a holistic feature vector comprising of a set of local …

Human detection is a central problem in development of any surveillance application. In this
study, we present a simple and efficient, multi-resolution gray scale invariant approach for …

Facial expression is an important cue for emotion recognition in human behavior analysis. In
this work, we have improved the recognition accuracy of facial expression recognition and …

For the need of automatic and intelligent dairy cow farming, it is important to combine more
information technologies with the surveillance system. Different gestures may provide …

Due to increasing demand of automated monitoring systems, human activity recognition
(HAR) has become one of the most active research areas. The goal of the proposed work is …

This chapter analyses real world human activity recognition problem. It uses discrete
wavelet transform and multiclass support vector machine (SVM) classifier for recognition …

Due to increasing demand of automated monitoring systems, human activity recognition
(HAR) has become one of the most active research areas. The goal of the proposed work is …