Wednesday, September 30, 2020 Home   | Search
Viewing Abstract

Page: 266-273 ------------------------------> Last_modified :7/11/2017 12:10:00 PM

Title: Moving Object Detection and Extraction Using Intuitionistic Fuzzy Logic
Authors: D. Stalin Alex; Amitabh Wahi; Revathi Ramalingam; Hemalatha Marimuthu
Aff: Anna University, Chennai, Tamilnadu, India.
Author Email:
Keywords: Detection and Extraction; Intuitionistic; Fuzzy Logic
Abstract:Abandoned object discovery using tracking based approaches are often become unpredictable in complex surveillance videos due to noise, occlusions, lighting changes and other factors. This proposed study presents a new structure to strongly and proficiently detect abandoned objects based on background subtraction. In this proposed system, the background is modeled by Gaussian mixture. In order to hold complex situations, numerous enhancements are implemented for noise removal, rapid lighting transform adaptation, fragment reduction and maintaining a stable update rate for video streams with different frame rates. In order to substantiate this proposed approach the object detection method using Intuitionistic logic based on block matching techniques has been used. The experimental results obtained were tested on benchmark video sequences. The obtained results are very promising in terms of robustness and effectiveness.