Research Article | Open Access
FINDING TOING AND FROING OF OBJECT FOR SECURITY SURVEILLANCE USING VIBE ALGORITHM COMPARING HOG ALGORITHM
S Vamsi Govind , Nagaraju V
Pages: 5378-5387
Abstract
Aim: Finding toing and froing of objects for security surveillance using Machine Learning algorithms ViBe algorithm compared with HOG algorithm. Materials and Methods:ViBe algorithm and HOG algorithm with sample size (N=32) were iterated 10 times to detect the object accuracy. Finding toing and froing of objects for security surveillance includes the detection of objects from previous historical data. Results: Finding toing and froing of objects for security surveillance using ViBealgorithm (96.81%) and HOG algorithm (91.86%) is obtained. There was a statistical significance between ViBe algorithm and HOG algorithm (p=0.005). For each algorithm, 20 samples iterated and G power were calculated as actual power of 80% and alpha value set as 0.025
Keywords
Novel Object Detection, Machine Learning, ViBe Algorithm, HOG algorithm, Toing and Froing, Security Surveillance