Recognizing Human Actions by Local Space Time and LS-TSVM over CUDA
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 11
Abstract
Local space-time features can be used to make the events adapted to the velocity of moving patterns, size of the object and the frequency in captured video. This paper purposed the new implementation approach of Human Action Reorganization (HAR) using Compute Unified Device Architecture (CUDA). Initially, local space-time features extracted from the customized dataset of videos. The video features are extracted by utilizing the Histogram of Optical Flow (HOF) and Harris detector algorithm descriptor. A new extended version of SVM classifier which is four time faster and has better precision than classical SVM known as the Least Square Twin SVM (LS-TSVM); a binary classifier which use two non-parallel hyperplanes, is applied on extracted video features. Paper evaluates the LS-TSVM performance on the customized data and experimental result showed the significant improvements.
Authors and Affiliations
Mohsin Raza Siyal, Muhammad Saeed, Jibran R. Khan, Farhan A. Siddiqui, Kamran Ahsan
Keywords
Related Articles
- EP ID EP240660
- DOI 10.14569/IJACSA.2017.081124
- Views 89
- Downloads 0
Object Detection System to Help Navigating Visual Impairments
The number of people with severe visual impairments and blind people in the world is 216.6 million and 38.5 million, respectively in 2018 and that number will increase every year. While the development of Computer Vision...
Evaluating Predictive Algorithms using Receiver-Operative Characteristics for Coronary Illness among Diabetic Patients
The grouping of information is a typical method in Machine learning. Information mining assumes a crucial part to extract learning from vast databases from operational databases. In medicinal services Data mining is a cr...
CryptoROS: A Secure Communication Architecture for ROS-Based Applications
Cyber-attacks are a growing threat to future robots. The shift towards automatization has increased relevance and reliance on robots. Securing robots has been secondary or ternary priority and thus robots are vulnerable...
GPC Temperature Control of A Simulation Model Infant-Incubator and Practice with Arduino Board
The thermal environment surrounding preterm neonates in closed incubators is regulated via air temperature control mode. At present, these control modes do not take account of all the thermal parameters involved in a pat...
Motion Blobs as a Feature for Detection on Smoke
Disturbance that is caused due to visual perception with the atmosphere is coined as smoke, but the major problem is to quantify the detected smoke that is made up of small particles of carbonaceous matter in the air, re...