Human Activity Recognition Based on Object Detection
Aarsh Joshi, Hetal Parmar, Khyati Ajay Jain, Chandni Shah, Prof. Vaishali R Patel · IOSR Journal of Computer Engineering · 2017
Human activity recognition and object detection are techniques for detecting a human and objects from an image respectively.Which can be greatly useful for medical, security and industrial fields.This paper presents a new approach by combining both the techniques for extra usability and accurate detection of activities.This paper presents the HOG features for detecting the human in an image and SURF features for extraction of matched points from the image.The accuracy of results are higher due to combination of both the techniques by merging the results of features obtained from an image.The algorithm helps to perform better in low-light conditions which helps to perform better feature extraction.This technique determines the distance of the object from a human and provides the results of activities based on the distance.