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title

GOOGLE AI OPEN IMAGES - OBJECT DETECTION TRACK

Author(s):

Prof. Kishore M

Keywords:

Open Images, artificial intelligence, Object detection, Computer vision, Open Image Dataset v4, Image processing, object recognition and segmentation.

Abstract

Real time object detection and tracking are important and challenging tasks in many computer vision applications such as video surveillance, robot navigation and vehicle navigation. Object detection involves detecting the object in sequence of images. Every tracking mechanism requires object detection mechanism either in each frame. Object tracking is the process of locating an object or multiple objects using either static or dynamic camera. The availability of high-powered computers, high quality and inexpensive video cameras will increase need for automated video analysis. It has generated a great deal of interest in object detection and tracking algorithms. Even though high-powered computers are used for object detection and tracking algorithm, most of the object detection algorithms such as background subtraction, temporal difference, foreground extraction and simple differencing requires long time to detect object, requires more storage space and no robustness against illumination changes.

Other Details

Paper ID: IJSARTV
Published in: Volume : 5, Issue : 3
Publication Date: 3/2/2019

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