Du-Hyun Hwang, Yoon-Ki Kim and Chang-Sung Jeong, Korea University, Republic of Korea

In general, a distributed processing is not suitable for dealing with image data stream due to the network load problem caused by communications of frames. For this reason, image data stream processing has operated in just one node commonly. However, we need to process image data stream in a distributed environment in a big data era due to increase in quantity and quality of multimedia data. In this paper, we shall present a real-time pedestrian detection methodology in a distributed environment which processes image data stream in real-time on Apache Storm framework. It achieves sharp speed up by distributing frames onto several nodes called bolts, each of which processes different regions of image frames. Moreover, it can reduce the overhead caused by synchronization by computation bolts which returns only the processing results to the merging bolts.

Distributed stream processing, Apache storm, Image Processing, Pedestrian Detection.