Low Latency Image Processing of Transportation System Using Parallel Processing co-incident Multithreading (PPcM)

Low latency image processing and high FPS (frames per second) is significant for high resolution decision making in many object recognition applications. Reading frames in between processing of a video is too slow and sluggish as the corresponding reading and decoding the frames are done in the main processing thread. Packages, such as imutils provide such off-the-shelf image processing algorithms which apply multi-threading to achieve low latency. However, the algorithms are unable to perform computationally expensive image processing operations. In this paper, we apply a parallel processing technique based on coincident multi-threading to decrease the latency for computationally expensive cases. The technique is evaluated using a prototype of smart car to show that FPS rate is increased and time complexity of algorithms is reduced by an order of n.