| 000 -LEADER |
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| fixed length control field |
a |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20191118103231.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191118b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
10534 |
| Author |
Joshi, Kinjal V. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Review on Crowd Analysis Techniques |
| 250 ## - EDITION STATEMENT |
|---|
| Volume, Issue number |
Vol.6(2), May-Aug |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
New Delhi |
| Name of publisher, distributor, etc. |
STM Journals |
| Year |
2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Pagination |
119-126p. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Nowadays Crowd analysis is an active open research problem in Computer Vision field. Its various applications like Crowd management, Public space design, Virtual environments, Visual surveillance, and intelligent environments attract researchers. Today security is major concerned, and any abnormal activity can automatically be detected by crowd analysis, so this research topic has got good attention of different researchers. Abnormal activity detection in the crowd is a very challenging task because of occlusion. In this paper, a survey of different crowd analysis techniques is presented. Crowd analysis can be divided among three major modules: people counting, people tracking and behavior understanding. Various methods for each module are discussed here. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
4622 |
| Topical term or geographic name entry element |
Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
10535 |
| Co-Author |
Patel, Narendra M. |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Journal of artificial intelligence research and advances (JoAIRA) |
| Place, publisher, and date of publication |
Noida STM Journals |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| URL |
http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=2149 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Articles Abstract Database |
