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.
In this report, a method for monitoring activity at a ticket machine is presented. While this work has been done in the specific context of Turin metro, the proposed model could be applied to other locations and tasks in video-surveillance. Monitoring the activity is based here on event recognition, by modelling directly the events of interest.We especially focus on detecting queues at ticket vending machines. A 2-layer model is proposed. In the first layer, several sub-events are defined and detected using a discriminative approach (SVMs). The second layer uses the result of the first and model the high-level event of interest. Results are assessed on 4 hours of real video footage coming from Turin metro station.