Deformable Part Model and Deep Learning Comparison on Victim Detection

Cakmak F., Uslu E., Altuntas N., Marangoz S., Balcilar M., Amasyali M. F., ...More

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1513-1516 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2016.7496039
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1513-1516
  • Yıldız Technical University Affiliated: Yes


Object detection problem is a considerable research field that is being developed through continuous research. Simulated victims (dolls) detection performances of 2 different methods are given in the scope of this work. While deformable part model method is performing high accuracy and speed to detect object, with growing and remarkable popularity, deep learning method is noteworthy with higher performance results. This work mentions about the advantages and disadvantages of both methods and gives experimental results on a simulated environment.