Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Estimation of human orientation is considered a key configuration to study and understand human behaviours. There have been many works focusing on this. Hover, most of previous works are sensor-based technologies but visual-based technologies. ,  proposed a method to estimate the orientation of human in a given image patch.  have observed the performance of a feature called Histogram of Oriented Gradients (HOG) on human detection and found the sensitivity of this feature in in-plane rotation. It is so sensitive that it could be used in classifying images of rotated and non-rotated human body. Therefore  have drawn an idea to exploit a modified HOG descriptor with ’bin shifting’ technique to estimate the orientation of human. The results show that the proposed method can effectively estimate the orientation of human pose inside an image with fast and simple additional operations required.
['Panachit Kittipanya-ngam', 'Soh Guat Ong', 'How Lung Eng']
I am writing a research paper on a idea Estimation of Human Body Orientation Using Histogram of Oriented Gradients.
[{"from": "human", "value": "I am writing a research paper on a idea Estimation of Human Body Orientation Using Histogram of Oriented Gradients."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Estimation of human orientation is considered a key configuration to study and understand human behaviours. There have been many works focusing on this. Hover, most of previous works are sensor-based technologies but visual-based technologies. ,  proposed a method to estimate the orientation of human in a given image patch.  have observed the performance of a feature called Histogram of Oriented Gradients (HOG) on human detection and found the sensitivity of this feature in in-plane rotation. It is so sensitive that it could be used in classifying images of rotated and non-rotated human body. Therefore  have drawn an idea to exploit a modified HOG descriptor with \u2019bin shifting\u2019 technique to estimate the orientation of human. The results show that the proposed method can effectively estimate the orientation of human pose inside an image with fast and simple additional operations required."}]