JOURNAL ARTICLE

REAL TIME GENERIC OBJECT DETECTION AND TRACKING

Naman Swaroop

Year: 2020 Journal:   International Journal of Engineering Applied Sciences and Technology Vol: 5 (1)Pages: 370-372   Publisher: IJEAST

Abstract

This research paper, introduces a technique for automating the methodology of detecting and tracking objects using color feature and motion.Video Tracking is the process of finding a moving object over the priod of time using a camera.The main idea of video tracking is to track objects in consecutive frames of video.The relationship can give trouble when the objects are moving with speed with respect to the frame rate.A different situation may arise the uncertainity of the matter is the time when the object tracking changes orientation after eventually.For these circumstances video tracking frameworks typically utilize a movement model which depicts how the image of the target may change for distinctive conceivable movements of the object.Here in this paper we have developed an algorithm to to track object in video frames using color, motion and feature.

Keywords:
Computer science Computer vision Artificial intelligence Object (grammar) Tracking (education) Video tracking Psychology

Metrics

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Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.08
Citation Normalized Percentile
Is in top 1%
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Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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