@inproceedings{MalysiakMarkardHandmann2015,
  author    = {Darius Malysiak and Markus Markard and Uwe Handmann},
  title     = {Increasing the efficiency of gpu-based hog algorithms through tile-images},
  series = {Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science},
  volume    = {2015},
  number    = {vol 9621},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-662-49381-6},
  doi       = {https://doi.org/10.1007/978-3-662-49381-6\_68},
  pages     = {708 -- 720},
  year      = {2015},
  abstract  = {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.},
  language  = {en}
}