TY - CHAP U1 - Konferenzveröffentlichung A1 - Malysiak, Darius A1 - Markard, Markus A1 - Handmann, Uwe T1 - Increasing the efficiency of gpu-based hog algorithms through tile-images T2 - Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science N2 - Object detection systems which operate on large data streams require an efficient scaling with available computation power. We analyze how the use of tile-images can increase the efficiency (i.e. execution speed) of distributed HOG-based object detectors. Furthermore we discuss the challenges of using our developed algorithms in practical large scale scenarios. We show with a structured evaluation that our approach can provide a speed-up of 30-180 % for existing architectures. Due to the its generic formulation it can be applied to a wide range of HOG-based (or similar) algorithms. In this context we also study the effects of applying our method to an existing detector and discuss a scalable strategy for distributing the computation among nodes in a cluster system. Y1 - 2015 UR - https://link.springer.com/chapter/10.1007/978-3-662-49381-6_68 SN - 978-3-662-49381-6 SB - 978-3-662-49381-6 U6 - https://doi.org/https://doi.org/10.1007/978-3-662-49381-6_68 DO - https://doi.org/https://doi.org/10.1007/978-3-662-49381-6_68 VL - 2015 IS - vol 9621 SP - 708 EP - 720 S1 - 13 PB - Springer CY - Berlin ER -