Downloads: 107 | Views: 115
Review Papers | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014
Human Detection with Non Linear Classification Using Linear SVM
Abstract: Human detection is one of the major topics of vision research and has lots of application such as surveillance, robotics, pedestrian detection etc. Detecting human beings expeditiously is the major problem faced in many research works. Support vector machine is one of the techniques used for human detection and among them linear and non linear SVM are most popular. The performance of linear SVM decreases significantly for large set data. Non linear SVM are more promising but they are more computationally expensive. This paper presents the study of classifying the human posture like non linear SVM classification using number of linear SVM. The target space is divided into sub space by each linear SVM which result in non linear classification boundary of human posture. This paper is a review of pricewise linear support vector machine for detecting human being in various environment.
Keywords: Histogram of orientation HOG, Human detection, Non linear SVM, Piecewise linear support vector machine PLSVM, Support vector machine SVM
Edition: Volume 3 Issue 12, December 2014,
Pages: 1347 - 1354
Similar Articles with Keyword 'Support vector machine SVM'
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 12, December 2020Pages: 1615 - 1620
Traffic Sign Detection via Graph Based Ranking and Segmentation Algorithm
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014Pages: 1520 - 1522
Survey of Various Techniques for Signature Recognition and Verification
Sharayu S. Sangekar | D. C. Dhanwani