Human action recognition has become an important research area in the fields of computer vision, image processing, and human-machine or human-object interaction due to its large number of real time applications. Action recognition is the identification of different actions from video clips (an arrangement of 2D frames) where the action may be performed in the video. This is a general construction of image classification tasks to multiple frames and then collecting the predictions from each frame. Different approaches are proposed in literature to improve the accuracy in recognition. In this paper we proposed a deep learning based model for Recognition and the main focus is on the CNN model for image classification. The action videos are converted into frames and pre-processed before sending to our model for recognizing different actions accurately..
The current era is the golden era of Artificial Intelligence. Machine learning is used mostly in all Applications of Artificial intelligence(AI). Machine learning is proven as a great tool to make AI strong. As an advanced form of machine learning, the popularity and success of Deep Learning is proven in different applications is at the top level. As the accuracy in forecasting is high as well as it is very important for the corporate world. The leadership of deep learning cannot be underestimated. It is used to develop systems that mimic the human knowledge gain process using neural networks. In this paper, we are going to discuss innovative developments in application areas of deep learning.
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