![]() ![]() The framework of choice is Android, the most popular mobile operating system. The course equips students with tools for a practical realisation of mobile sensing. smartphones, smartwatches, etc.), for understanding a user’s context, modelling a user’s behaviour, and devising novel applications based on the acquired information. The course investigates the use of sensors, embedded in mobile computation devices (e.g. The tracking evaluation scripts will be made avilable shortly.Course title: Mobile Sensing (slo: Mobilno zaznavanje) ![]() This will take all the archive parts and combine them into one file and then extract this to the working directory. GB in total)- Once all the part files have been downloaded to the same directory run the following command: cat Data_Driven_Crowd_Dataset. Obtaining the web crowd videos: -Download each of the part files (1. Leveraging motion priors from a large database is therefore expected to provide a better model for analyzing both typical and rare crowd motions. One can therefore consider the possibility of spanning the space of semantically distinguishable crowd patterns by sampling patches from a large database of crowd motion. Another compelling reason for searching motion priors amongst a large collection of videos resides in the fact that some motion patterns, such as an individual walking against the flow of traffic, may be observed in only a small num- ber of scenarios. Both factors put strong limitations on the possible motions of individuals within a crowd. To this end, we constructed our crowd video collection by crawling and downloading videos from search engines and stock footage websites (such as gettyimages and youtube) using text queries such as “cross- walk,” “political rally,” “festival,” and “marathon.”There are several compelling reasons to search for simiar behaviors amongst crowd motion patterns.įirst, the motion of individuals in a high density crowd is often limited both by the physical constraints as well as social conven- tions of crowd dynamics. In order to track individuals in a wide range of crowd scenes, we aim to sample the set of crowd videos as broadly as possible. Datasets and Source Code - Mikel Rodriguez. ![]()
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January 2023
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