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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2016
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| Online Access: | http://irep.iium.edu.my/52151/ http://irep.iium.edu.my/52151/ http://irep.iium.edu.my/52151/1/Multiple%20Object%20Recognition.pdf |
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iium-521512016-10-07T07:57:50Z http://irep.iium.edu.my/52151/ Multiple object recognition Alamin, Sabri Mohammed Khalifa, Othman Omran T Technology (General) 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 2016-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/52151/1/Multiple%20Object%20Recognition.pdf Alamin, Sabri Mohammed and Khalifa, Othman Omran (2016) Multiple object recognition. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 3 (9). pp. 5550-5554. ISSN 2458-9403 http://www.jmest.org/wp-content/uploads/JMESTN42351769.pdf |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Alamin, Sabri Mohammed Khalifa, Othman Omran Multiple object recognition |
| description |
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 |
| format |
Article |
| author |
Alamin, Sabri Mohammed Khalifa, Othman Omran |
| author_facet |
Alamin, Sabri Mohammed Khalifa, Othman Omran |
| author_sort |
Alamin, Sabri Mohammed |
| title |
Multiple object recognition |
| title_short |
Multiple object recognition |
| title_full |
Multiple object recognition |
| title_fullStr |
Multiple object recognition |
| title_full_unstemmed |
Multiple object recognition |
| title_sort |
multiple object recognition |
| publishDate |
2016 |
| url |
http://irep.iium.edu.my/52151/ http://irep.iium.edu.my/52151/ http://irep.iium.edu.my/52151/1/Multiple%20Object%20Recognition.pdf |
| first_indexed |
2023-09-18T21:13:57Z |
| last_indexed |
2023-09-18T21:13:57Z |
| _version_ |
1777411436955303936 |