Geert De Cubber, Marian Ghenescu, Juergen Beyerer, Lars Sommer, Nabin Sharma, Tomas Piatrik, Michael Blumenstein, Sinan Kalkan, Angelo Coluccia, Tobias Schuchert, Mohammad Farhadi, Arne Schumann, Ruhallah Amandi, Cemal Aker, Muhammad Saqib, Khan Makkah, Johannes Klatte, Sultan Daud, Coluccia, A., Ghenescu, M., Piatrik, T., De Cubber, G., Schumann, A., Sommer, L., Klatte, J., Schuchert, T., Beyerer, J., Farhadi, M., Amandi, R., Aker, C., Kalkan, S., Saqib, M., Sharma, N., Makkah, S. D. K., and Blumenstein, M.
14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 -- 29 August 2017 through 1 September 2017 -- -- 131495, Small drones are a rising threat due to their possible misuse for illegal activities, in particular smuggling and terrorism. The project SafeShore, funded by the European Commission under the Horizon 2020 program, has launched the 'drone-vs-bird detection challenge' to address one of the many technical issues arising in this context. The goal is to detect a drone appearing at some point in a video where birds may be also present: the algorithm should raise an alarm and provide a position estimate only when a drone is present, while not issuing alarms on birds. This paper reports on the challenge proposal, evaluation, and results1. © 2017 IEEE., Horizon 2020 European Commission Horizon 2020: 700643 European Commission 700643, Small drones are a rising threat due to their possible misuse for illegal activities, in particular smuggling and terrorism. The project SafeShore, funded by the European Commission under the Horizon 2020 program, has launched the “drone-vs-bird detection challenge” to address one of the many technical issues arising in this context. The goal is to detect a drone appearing at some point in a video where birds may be also present: the algorithm should raise an alarm and provide a position estimate only when a drone is present, while not issuing alarms on birds. This paper reports on the challenge proposal, evaluation, and results1., The project SafeShore, funded by the European Commission under the “Horizon 2020” program, grant agreement No 700643, is addressing this ambitious goal within a general framework of border protection [1, 2]. One of the initiatives of the SafeShore Consortium has been the organization of the International Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques (WOSDETC) as part of the 14th edition of the IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS). In conjunction with this event, the drone-vs-bird detection challenge has been launched to address one of the main issues arising in the described context. Indeed, given their characteristics, drones can be easily confused with birds, which makes the surveillance tasks even more challenging especially in maritime areas where bird populations may be massive. The use of video analytics can solve the issue, but effective algorithms are needed able to operate also under unfavorable conditions, namely weak contrast, long range, low visibility, etc.