Abstract
Abstract. Human detection has been playing an increasingly important role in many fields in recent years. Human detection is a still challenging task because, for the group of people, each individual has his unique appearance and, body shape.Compared with the traditional method, the deep learning neural network has the advantages of shorter computing time, higher accuracy and easier operation. Therefore, deep learning method has been widely used in object detection. The current state of art in human detection is RetinaNet. Among all the deep learning approaches, RetinaNet gives the highest accuracy of human detection (Lin, Goyal, Girshick, He, & Piotr Dollar, 2018).The temporal component of video provides additional and significant clues as compared to the static image. In this paper, the temporal relationship of the images is utilized to improve the accuracy of human detection. Compared to using only an image, the accuracy of human detection is 21.4% higher when a sequence of images is applied.
Highlights
IntroductionHuman detection is a useful tool in many research fields
1.1 Background InformationHuman detection is a useful tool in many research fields
The increased precision achieved in the field of human detection will play a huge role in other applications that rely on human detection technology
Summary
Human detection is a useful tool in many research fields. This technology provides a solid technical foundation for these problems and guarantees their development. The importance of human detection in autonomous driving, Post-disaster rescue, automated surveillance, military and robotics services has become significant (Gajjar, Gurnani, & Khandhediya, 2017). Human detection technology ensures the safety of both drivers and pedestrians (Ballas, Larochelle, & Courville, 2015). Human detection plays a key role in automated surveillance (D, Manjunath, & Abirami, 2012 ; Moore, 2003). Human detection technology can help to monitor some suspicious activities. The human detection device can help to monitor the enemy's action. How to improve the accuracy of human detection is a problem worth studying
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