Automated daily human activity recognition for video surveillance using neural network
Surveillance video systems are gaining increasing attention in the field of computer vision due to its demands of users for the seek of security. It is promising to observe the human movement and predict such kind of sense of movements. The need arises to develop a surveillance system that capable t...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62659/ http://irep.iium.edu.my/62659/ http://irep.iium.edu.my/62659/ http://irep.iium.edu.my/62659/1/62659_Automated%20daily%20human%20activity%20recognition.pdf http://irep.iium.edu.my/62659/7/62659_Automated%20daily%20human%20activity%20recognition%20for%20video%20surveillance_SCOPUS%20Conf.pdf |
Internet
http://irep.iium.edu.my/62659/http://irep.iium.edu.my/62659/
http://irep.iium.edu.my/62659/
http://irep.iium.edu.my/62659/1/62659_Automated%20daily%20human%20activity%20recognition.pdf
http://irep.iium.edu.my/62659/7/62659_Automated%20daily%20human%20activity%20recognition%20for%20video%20surveillance_SCOPUS%20Conf.pdf