Summary: Human Action Recognition For Surveillance Using Deep Learning Techniques
Title: Human Action Recognition for Surveillance Using Deep Learning Techniques
Basic Idea:
Human Action Recognition (HAR), an emerging domain of computer vision used to recognize the behavioural action of human. It has many applications like human machine interaction, video retrieval and surveillance. It is a very hot topic in machine learning, deep learning and computer vision. So In this domain I have decided to work on Surveillance, the basic idea of this topic is to recognize abnormal of human in front of security cameras. For this purpose recognition of human behaviour is very important. This would be very useful for society as now a day’s security surveillance is main requirement and with the increase in security cameras, cost of hiring …show more content…
Human Action Recognition, By the term it depicts that recognizing and classifying of different postures of human being that are being adopted by humans in daily lives. So mainly it gives idea of my proposed solution to problem of security surveillance as it would help us sort out the problem of behaviour recognition as normal or abnormal. This solution would have a large impact on society as cost of surveillance would be reduced and eyes on different cameras would also be reduced. This automatic recognition system would enable us to classify the images of different behaviours in a very effective way, some of the main postures that would be recognized include walking, jogging, emotions, greetings while meeting, body postures like …show more content…
An alert to surveillance officer would be generated when the abnormal activity will be observed; this would reduce the cost and effort of security surveillance in routine life. The application of surveillance can be grouped in three different divisions as surveillance, control and analysis. Surveillance includes types of problems for automatically monitoring and understanding locations with crowed or large number of people, it can be used in counting number of people, shopping behaviour analysis, and recognizing abnormal behaviour in crowed or it has also some applications for
Basic Idea:
Human Action Recognition (HAR), an emerging domain of computer vision used to recognize the behavioural action of human. It has many applications like human machine interaction, video retrieval and surveillance. It is a very hot topic in machine learning, deep learning and computer vision. So In this domain I have decided to work on Surveillance, the basic idea of this topic is to recognize abnormal of human in front of security cameras. For this purpose recognition of human behaviour is very important. This would be very useful for society as now a day’s security surveillance is main requirement and with the increase in security cameras, cost of hiring …show more content…
Human Action Recognition, By the term it depicts that recognizing and classifying of different postures of human being that are being adopted by humans in daily lives. So mainly it gives idea of my proposed solution to problem of security surveillance as it would help us sort out the problem of behaviour recognition as normal or abnormal. This solution would have a large impact on society as cost of surveillance would be reduced and eyes on different cameras would also be reduced. This automatic recognition system would enable us to classify the images of different behaviours in a very effective way, some of the main postures that would be recognized include walking, jogging, emotions, greetings while meeting, body postures like …show more content…
An alert to surveillance officer would be generated when the abnormal activity will be observed; this would reduce the cost and effort of security surveillance in routine life. The application of surveillance can be grouped in three different divisions as surveillance, control and analysis. Surveillance includes types of problems for automatically monitoring and understanding locations with crowed or large number of people, it can be used in counting number of people, shopping behaviour analysis, and recognizing abnormal behaviour in crowed or it has also some applications for