Online Human Detection using HOG and RSCBFD Algorithm
Adarsh S S1, Kavitha K V2

1Adarsh S S, M.Tech Student, Department of CSE, SCTCE, Pappanamcode, Trivandrum (Kerala), India.
2Kavitha K V, Assistant Professor, Department of CSE , Pappanamcode, Trivandrum (Kerala), India.

Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 201-203 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4213084615/15©BEIESP
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Abstract: Human detection has many applications in many fields such as robotics, surveillance, user interface design, Human Activity Recognition etc. Many approaches are available for human detection. A new approach for human detection is introduced here, a combination of two algorithms like HOG and RSCBFD algorithm. The combined algorithm helps the system to be faster than previous systems and provides better accuracy also. Since it is fast, the method can use for real time systems. The performance of the system is compared and analyzed with some previous methods.
Keywords: Gradient, HOG, RSCBFD, Cosine Similarity

Scope of the Article: Algorithm Engineering