Human Action Recognition

Project Code :TCMAPY453

Objective

The main objective of this proposed model is to recognize the human actions/activities using Convolution Neural Network (CNN) from the deep learning and with the help of OpenCV.

Abstract

Human activity recognition plays a significant role in human-to-human interaction and interpersonal relations. Because it provides information about the identity of a person, their personality, and psychological state, it is difficult to extract. The human ability to recognize another person’s activities is one of the main subjects of study of the scientific areas of computer vision and machine learning. As a result of this research, many applications, including video surveillance systems, human-computer interaction, and robotics for human behavior characterization, require a multiple activity recognition system. In image and video analysis, human activity recognition is an important research direction. In the past, a large number of papers have been published on human activity recognition in video and image sequences. In this paper, we are proposing a deep learning based Convolution Neural Network (CNN) algorithm and OpenCV that which can train the dataset and recognize the human actions/activities.


Keywords: Human action/activity recognition, deep learning, CNN, OpenCV

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W Configuration:

·         Processor                    :    I3/Intel Processor

·         Hard Disk                    :   160GB

·         RAM                             :    8Gb

S/W Configuration:

·         Operating System       :   Windows 7/8/10            .          

·         IDE                                :   Pycharm.

·         Libraries Used            :    Numpy, IO, OS, OpenCV.

·         Technology                 :    Python 3.6+.

Learning Outcomes

  • Practical exposure to
    • Hardware and software tools
    • Solution providing for real time problems
    • Working with team/individual
    • Work on creative ideas
  • Testing techniques
  • Error correction mechanisms
  • What type of technology versions is used?
  •  Working of Tensor Flow
  • Implementation of Deep Learning techniques
  • Working of CNN algorithm
  • Working with OpenCV
  • Building of model creations
  • Scope of project
  • Applications of the project
  • About Python language
  • About Deep Learning Frameworks
  • Use of Data Science

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