Increasing the efficiency of gpu-based hog algorithms through tile-images
- 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.
| Author: | Darius Malysiak, Markus Markard, Uwe Handmann |
|---|---|
| URL: | https://link.springer.com/chapter/10.1007/978-3-662-49381-6_68 |
| DOI: | https://doi.org/https://doi.org/10.1007/978-3-662-49381-6_68 |
| ISBN: | 978-3-662-49381-6 |
| Parent Title (English): | Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science |
| Publisher: | Springer |
| Place of publication: | Berlin |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2015 |
| Release Date: | 2019/07/03 |
| Volume: | 2015 |
| Issue: | vol 9621 |
| Page Number: | 13 |
| First Page: | 708 |
| Last Page: | 720 |
| Institutes: | Fachbereich 1 - Institut Energiesysteme und Energiewirtschaft |
| DDC class: | 600 Technik, Medizin, angewandte Wissenschaften / 621.3 Elektrotechnik, Elektronik |
| Licence (German): |  No Creative Commons |
