scholarly journals Detection and Tracking of Humans and Faces

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Stefan Karlsson ◽  
Murtaza Taj ◽  
Andrea Cavallaro
Keyword(s):  
Detection And Tracking ◽  
Tracking Of Humans

Doppler-based detection and tracking of humans in indoor environments

2008 ◽  
Vol 345 (6) ◽  
pp. 679-699 ◽  
Author(s):  
Shobha Sundar Ram ◽  
Yang Li ◽  
Adrian Lin ◽  
Hao Ling
Keyword(s):  
Indoor Environments ◽  
Detection And Tracking ◽  
Tracking Of Humans

scholarly journals Detection and tracking of humans from an airborne platform

2014 ◽  
Author(s):  
Adam W. M. van Eekeren ◽  
Judith Dijk ◽  
Gertjan Burghouts
Keyword(s):  
Detection And Tracking ◽  
Tracking Of Humans

scholarly journals Enhanced approach for face detection and identifying human body proportionality using v-jones algorithm

2018 ◽  
Vol 7 (4) ◽  
pp. 2374
Author(s):  
Santosh Patil ◽  
N Ramakrishnaiah ◽  
S Laxman Kumar
Keyword(s):  
Human Body ◽  
Skin Color ◽  
High Accuracy ◽  
Human Anatomy ◽  
Body Proportion ◽  
Massive Datasets ◽  
Detection And Tracking ◽  
Tracking Process ◽  
Human Object ◽  
Tracking Of Humans

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. 

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