An Effective Object Detection and Tracking by Background and Foreground Detection
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
the advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time. For object recognition, navigation systems and surveillance systems, object tracking is an indispensable first-step. The conventional approach to object tracking is based on the difference between the current image and the background image. The algorithms based on the difference image are useful in extracting the moving objects from the image and track them in consecutive frames. The proposed algorithm, consisting of three stages i.e. Color extraction, foreground detection using gaussian mixture model and object tracking using blob analysis. Initially color extraction is done to extract the required color from a particular picture frame, after color extraction the moving objects present in the foreground are detected using gaussian mixture model and blob analysis is applied on consecutive frames of video sequence, so as to observe the motion of the object, hence the moving object in the video sequences will be tracked. The detected and tracked objects information on which data analysis is performed which helps to organize any city smartly.
Authors and Affiliations
K. C Smitha, Venkatesh Murthy, Dr. H. N. Suresh
Keywords
Related Articles
- EP ID EP24473
- DOI -
- Views 347
- Downloads 10
Automated Incoup Tool for Coupling Based Integration Testing
Software testing is the major part in the development of software. Testing acts as the main work to identify the faults in the software product and provide errors to rectify. To ensure the software quality, errors are t...
Reconceptualising the Objectives of a Pilot Study for Understanding Employers’ Perception on Online Recruitment in MSMEs
This paper is a methodological study wherein the objectives of a pilot study has been reconceptualised and used to analyse the link between a successful pilot study and forestalled main study to identify potential metho...
Analysis of effects of height of substrate on Minkowski based fractal patch antenna
In this paper a Minkowski algorithm based antenna has been designed. The Minkowski fractal geometry is utilized to generate multiple frequency bands as well as to provide a miniaturized design .The proposed antenna has...
Low Cost Efficacious Solar Water Heater from Recycled Components
A solar water heater made from waste plastic bottles is based on the thermosyphon technology. Each row of bottles consists of PVC pipes coated with black mate paint at the centre of bottles. These bottles act as glazing...
Optimal Multi- Level Thresholding for Color Image Using Kapur’s Entropy and Bacterial Foraging Algorithm
This paper presents, a multi-thresholding approach for a class of 481 x 321 sized standard colour test images using Kapur’s entropy function and Bacterial Foraging Optimization (BFO) optimization algorithm. In this work...