I want to know the last techniques of classification in images and videos to enhance the precision of classification.
Dear Hussein,
There is no classifier which is always the best.
In the very cited paper
[
Poppe, R. (2010). A survey on vision-based human action recognition. Image and vision computing, 28(6), 976-990.
It can be uploaded from
http://pancamr.lecture.ub.ac.id/files/2012/02/A-survey-on-vision-based-human-action-recognition_Image-and-Vision-Computing_2010.pdf
]
you can find there (in chapter 3) a summary of many machine learning methods that are used for human action recognition.
You can see there methods form different categories, e.g.:
Discriminative classifiers such as SVM, RVM and AdaBoost
Nearest neighbor methods,
Discriminative models such as HMM and CRF
and many other kinds of ML methods.
There are also specific papers that describe a use of a certain ML method, such as:
HMM:
Yamato, J., Ohya, J., & Ishii, K. (1992, June). Recognizing human action in time-sequential images using hidden markov model. In Computer Vision and Pattern Recognition, 1992. Proceedings CVPR'92., 1992 IEEE Computer Society Conference on (pp. 379-385). IEEE.
SVM:
Schuldt, C., Laptev, I., & Caputo, B. (2004, August). Recognizing human actions: a local SVM approach. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (Vol. 3, pp. 32-36). IEEE.
Yaakov
Dear Hussein,
There is no classifier which is always the best.
In the very cited paper
[
Poppe, R. (2010). A survey on vision-based human action recognition. Image and vision computing, 28(6), 976-990.
It can be uploaded from
http://pancamr.lecture.ub.ac.id/files/2012/02/A-survey-on-vision-based-human-action-recognition_Image-and-Vision-Computing_2010.pdf
]
you can find there (in chapter 3) a summary of many machine learning methods that are used for human action recognition.
You can see there methods form different categories, e.g.:
Discriminative classifiers such as SVM, RVM and AdaBoost
Nearest neighbor methods,
Discriminative models such as HMM and CRF
and many other kinds of ML methods.
There are also specific papers that describe a use of a certain ML method, such as:
HMM:
Yamato, J., Ohya, J., & Ishii, K. (1992, June). Recognizing human action in time-sequential images using hidden markov model. In Computer Vision and Pattern Recognition, 1992. Proceedings CVPR'92., 1992 IEEE Computer Society Conference on (pp. 379-385). IEEE.
SVM:
Schuldt, C., Laptev, I., & Caputo, B. (2004, August). Recognizing human actions: a local SVM approach. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (Vol. 3, pp. 32-36). IEEE.
Yaakov
Dear Manosha,
My descriptors are Histogram of Gradients (HOG) and Histogram of optical flow (HOF)
thanks a lot
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