Survey on machine learning techniques for vehicle classification, helmet detection, and number plate recognition
By: Nikumbhe, Bhushan
.
Contributor(s): Sapte, Mayur.
Publisher: Haryana IOSR - International Organization of Scientific Research 2022Edition: Vol.24(2), Mar-Apr.Description: 30-33p.Subject(s): Computer EngineeringOnline resources: Click here
In:
IOSR Journal of Computer Engineering (IOSR-JCE)Summary: Background: Object tracking in video surveillance is of great interest for many researchers, which is an
important application and emerging research area in machine learning and image processing. Detecting object
is a process to find the presence of objects with a bounding box and categories or forms of the placed objects in
a picture. This paper provides a review on tracking techniques, their categorization into different types and
focuses on important and useful tracking techniques. We review general strategies under literature survey on
different techniques and finally state the analysis of possible research directions.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-2082 |
Background: Object tracking in video surveillance is of great interest for many researchers, which is an
important application and emerging research area in machine learning and image processing. Detecting object
is a process to find the presence of objects with a bounding box and categories or forms of the placed objects in
a picture. This paper provides a review on tracking techniques, their categorization into different types and
focuses on important and useful tracking techniques. We review general strategies under literature survey on
different techniques and finally state the analysis of possible research directions.
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