Multiple object recognition
With the increased processing power and emerging an advanced technologies, industries challenging for more demands for human life. Many algorithms have been proposed to solve the recent unsolved problems of object recognition, however, it still lack of tracking multiple objects in real time. O...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/52151/1/Multiple%20Object%20Recognition.pdf http://irep.iium.edu.my/52151/ http://www.jmest.org/wp-content/uploads/JMESTN42351769.pdf |
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| Summary: | With the increased processing power
and emerging an advanced technologies,
industries challenging for more demands for
human life. Many algorithms have been proposed
to solve the recent unsolved problems of object
recognition, however, it still lack of tracking
multiple objects in real time. Object detection and
recognition in noisy and crowded area is still a
challenging difficulty in the area of computer
vision. The objective of this system is to identify
the different objects using some techniques.
Mainly there are three basic steps in video
analysis: Detection of objects of interest from
moving objects, Tracking of that interested
objects in consecutive frames, and Analysis of
object tracks to understand their behavior. Simple
object detection compares a static background
frame at the pixel level with the current frame of
video. The existing method in this domain first
tries to detect the interest object in video frames.
One of the main difficulties in object tracking
among many others is to choose suitable features
and models for recognizing and tracking the
interested object from a video |
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