Human behavioral analysis using evolutionary algorithms and deep learning

Ijjina, E P and C, Krishna Mohan (2017) Human behavioral analysis using evolutionary algorithms and deep learning. In: Hybrid Intelligence for Image Analysis and Understanding. Wiley, pp. 165-186. ISBN 978-1-119-24292-5

Full text not available from this repository. (Request a copy)


Human behavior analysis refers to the use of machine learning techniques and computer vision to recognize and classify human behavior. One may classify human beahvior into gesture, event, action, and activity based on the duration for which the subjects motion is anlyzed. Depending on the region of interest, this can be further classified into facial expression, hand-gesture, or upper/body action. In the last decade, recognizing action in videos has gained a lot of interest in the computer vision research community due to its applications in ambient assisted living, health monitoring, video analytics, sports anlysis, robotics, and automatic video surveillance.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Book Section
Subjects: Computer science > Special computer methods
Computer science > Algorithm Analysis
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 26 Jul 2017 05:23
Last Modified: 01 Sep 2017 09:11
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 3442 Statistics for this ePrint Item