Efficient Human detection and tracking system in videos using Fuzzy logic
Publication Date : 01/04/2016
To detect human in a video containing other moving objects like vehicles, animals, etc is a challenging task. This paper proposes a Fuzzy logic based algorithm to successfully detect human from background frames by designing a robust model. Human detection is an important step in applications like human centric surveillance, recognition of activity in restricted areas, people counting, person tracking and identification etc. Inaccurate detection of human in applications like this may lead to increase in the number of false alarm. The proposed method will work in both indoor and outdoor sequences .The method proposed consists of 4 main steps, Background subtraction to detect moving objects, Extraction of features, Feature Aggregation using FIS and Human detection.
No. of Downloads :