Human body detection and tracking from moving cameras

2012 ◽  
Author(s):  
Chunming Li ◽  
Xinna Shi ◽  
Yunfeng Xu ◽  
Shaoguang Wu
Keyword(s):  
Human Body ◽  
Detection And Tracking

Far infrared pedestrian detection and tracking for night driving

Robotica ◽  
2010 ◽  
Vol 29 (4) ◽  
pp. 495-505 ◽  
Author(s):  
Daniel Olmeda ◽  
Arturo de la Escalera ◽  
José María Armingol
Keyword(s):  
Human Body ◽  
Probabilistic Models ◽  
Unscented Kalman Filter ◽  
Pedestrian Detection ◽  
Infrared Camera ◽  
Far Infrared ◽  
Moving Vehicle ◽  
Average Temperature ◽  
Detection And Tracking ◽  
Subsequent Step

SUMMARYThis paper presents a module for pedestrian detection from a moving vehicle in low-light conditions. The algorithm make use of a single far infrared camera based on a microbolometer. Images of the area ahead of the vehicle are analyzed to determine if any pedestrian might be in its trajectory. Detection is achieved by searching for distributions of temperatures in the scene similar to that of the human body. Those areas with an appropriate temperature, size, and position in the image are classified, by means of a correlation between them and some probabilistic models, which represents the average temperature of the different parts of the human body. Finally, those pedestrians found are tracked in a subsequent step, using an unscented Kalman filter. This final stage of the algorithm enables the algorithm to predict the trajectory of the pedestrian, in a way that does not depend on the movement of the camera. The aim of this system is to warn the vehicle's driver and reduce the reaction time in case an emergency break is necessary.

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. 

scholarly journals Device-free Localization Technique for Indoor Detection and Tracking of Human Body: A Survey

2014 ◽  
Vol 129 ◽  
pp. 422-429 ◽  
Author(s):  
Nasrullah Pirzada ◽  
M Yunus Nayan ◽  
Fazli Subhanc M Fadzil Hassan ◽  
Muhammad Amir Khan
Keyword(s):  
Human Body ◽  
Localization Technique ◽  
Detection And Tracking ◽  
Device Free

scholarly journals Live Human Detection Robot in Earthquake Conditions

2021 ◽  
Author(s):  
R. Kabilan ◽  
K. Lakshmi Narayanan ◽  
M. Venkatesh ◽  
V. Vikram Bhaskaran ◽  
G.K. Viswanathan ◽  
...  
Keyword(s):  
Human Body ◽  
Temperature Sensor ◽  
Humidity Sensor ◽  
Thermal Image ◽  
Search Method ◽  
Human Detection ◽  
Intelligent Robot ◽  
Experimental Setting ◽  
Detection And Tracking ◽  
Difficult Challenge

This report outlines a human searching device that takes the form of a robotic car and serves as a backup mechanism for saving lives in the event of a disaster. The temperature sensor, in general, detects the thermal image of the human body, and there has been extensive research into human searching with the gas and humidity sensor. In the intelligent robot device’s study, achieving accurate and reliable human detection and tracking is a difficult challenge. The architecture of human detection and tracking mechanisms over non-overlapping field of views is examined in this paper. To compensate for their respective flaws, a search method is proposed. The proposed method’s rate and accuracy of human detection was tested in an experimental setting. We may guide the robot’s movement by commanding it to move left, right, forward, or backward. We plan to equip the robot with sensors that will enable us to track and detect humans behind the wall.

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