Abstract
Manual analysis of pedestrians and crowds is often impractical for massive datasets of surveillance videos. Automatic tracking of humans is one of the essential abilities for computerized analysis of such videos. In this proposed work we use Viola jones method for detecting moving human object, next using same method we identify the Human anatomy body proportion to detect the whole human body. The final function is the skin color threshold using the HIS and YCbCr. The proposed method yields high accuracy, we conducted experimental analysis on different videos, achieved high accuracy in detecting human object moment. Several future enhancements can be made to the system. The detection and tracking of multiple people can be extended to real-time live video. Apart from the detection and tracking, process of recognition can also be done.
Highlights
Video is the most important element of the multimedia calculated and communiqué atmospheres
Automatic tracking of humans is one of the essential abilities for computerized analysis of such videos. In this proposed work we use Viola jones method for detecting moving human object, using same method we identify the Human anatomy body proportion to detect the whole human body
Video analysis is the very important task in computer vision in human communication and it is a dangerous technology in the detection and tracking of human by measurement
Summary
Human detection takes a amount of software application like façade tracing face identification and picture observation. Viola-jones upper body model utilizes the features of haar function to translate in particular at the front part of the body in animal contains the face and brains and part of the body between the neck and upper arm area. This method is most successful and detects the human body by sitting, standing and walking in different illumination, position by front or the side view and this method is steady by changing a position for example rotation or tilting of head. The standard viola jones detector has the primary cascade object detector system, which uses the first step to detect the higher part in the body, which is the front part of the body in human that contain the face and the part of the body between the neck and the upper arm
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