Detecting and Extracting Features of Multiple Moving Objects for Surveillance System

  Priyanka S. Barapatre,  Dr. C. M. Jadhao,  Prof. Amit S. Kakad

Object detection and feature extraction are main initial steps in digital image processing for surveillance system. A single object can be easily detected in an image. Multiple object in an image can be detected by using different object detectors simultaneously. The object detection methods have a wide range of application in a variety of areas including robotics, medical image analysis, surveillance, military operation and security purpose. Feature extraction is the process of extracting useful information from the input image. Here, object is detected and then extract its features by using HOG i.e. Histogram Oriented Gradient algorithm. This paper explains an algorithm which takes the video as an input and starts extracting frames from these video. Through the feature extraction algorithm, we have detected and extracted its features. Further these detected objects were classified according to the shape based criteria.

Keywords- Object detection, Sliding Window Technique, Feature extraction, HOG, SVM

Unique Identification Number - IJEDR1803077
Page Number(s) - 444-452
Pubished in - Volume 6 | Issue 3 | August 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Priyanka S. Barapatre,  Dr. C. M. Jadhao,  Prof. Amit S. Kakad,   "Detecting and Extracting Features of Multiple Moving Objects for Surveillance System", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.444-452, August 2018, Available at :http://www.ijedr.org/papers/IJEDR1803077.pdf