An, K. Choi, J. 2024-01-12T06:54:54Z 2024-01-12T06:54:54Z 2022-03-07 2013-08 0000-0000 https://pubs.kist.re.kr/handle/201004/80342 In this work, we introduce a 3D simulation framework for multi-human detection using multi-sensor. We build a 3D indoor space by modeling the real dimensions of a classroom using the 3D creation tool Blender. We also create human animations like sitting down and sleeping using its game engine. The multi-sensor frame consists of two RGB and two depth cameras simulated with the aid of the simulator MORSE. In addition, we examine the feasibility of simulation by testing the baseline vision method of face and human detection on a textured human animation. ？ 2013 IEEE. English IEEE A 3D simulation approach for multi-human detection using a multi-sensor frame Conference 10.1109/ROMAN.2013.6628510 1 22nd IEEE International Symposium on Robot and Human Interactive Communication: Living Together, Enjoying Together, and Working Together with Robots!, IEEE RO-MAN 2013, pp.388 - 393 22nd IEEE International Symposium on Robot and Human Interactive Communication: Living Together, Enjoying Together, and Working Together with Robots!, IEEE RO-MAN 2013 388 393 US Gyeongju 2013-08-26 Proceedings - IEEE International Workshop on Robot and Human Interactive Communication 2-s2.0-84889608503