Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
Optical flow calculation algorithms are hard to implement on hardware level in real-time due to their complexity and high computational load. In this work, we present a novel hierarchical block matching based optical flow algorithm. The algorithm estimates the initial optical flow with block matching based methods, and refines the vectors with local smoothness constraints in each hierarchy level. We evaluate the proposed algorithm with novel data sets and provide results compared to ground truth optical flow. Furthermore, we present a hardware architecture of the proposed algorithm for calculating optical flow in real-time. The presented design can process 640x480 resolution at 26 frames per second (fps).
David Atienza Alonso, Miguel Peon Quiros, Pasquale Davide Schiavone, Rubén Rodríguez Álvarez, Denisa-Andreea Constantinescu, Stefano Albini, Dimitrios Samakovlis
Giovanni De Micheli, Alessandro Tempia Calvino, Siang-Yun Lee, Dewmini Sudara Marakkalage, Rassul Bairamkulov, Mingfei Yu