Faculty of Information Technology, BUT

Product Details

GPU detektor objektů ve videu

Created: 2018

English title
GPU object detector in video stream
Type
software
License
required - optional free
Authors
Kula Michal, Ing. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Keywords
object detection, WaldBoost, GPU, OpenCL, LBP, LRD, LRP, CSLBP
Description
Real-time object detection is a core part of various complex algorithms in surveillance systems, traffic monitoring, autonomous vehicles and many other fields. Object detection is one of most computationally demanded part of these algorithms. Especially real-time processing of high resolution, high refresh rate or multiple image-based streams without rescaling or frame dropping are hard to achieve.

Software "GPU object detector in video stream" is suitable to achieve these goals thanks to parallel GPU implementation of detection algorithm which includes several optimization techniques that improves performance of object detection. Output is represented as a text file in CSV format that consists of frame numbers, positions and sizes of detected objects. Description of object classes is represented as a pretrained WaldBoost classifiers which contains LBP/LRD/LRD/CSLBP patterns.
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