GRENZE International Journal of Engineering and Technology
Sowmya K S
The workplace of building construction is a cluttered enviornment which makes the
automated detection of workers challenging. Challenges include placement of cameras, variation of
lighting conditions, occlusion etc. In this paper HOG is used as the feature detector and Linear SVM is
used to classify the person from the background.The algorithm is tested using INRIA database and also
on real time videos captured from construction sites.The detection rate is 99% for the INRIA database
and 90% for the real time vieos captured.