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pro vyhledávání: '"Sandhu, Mahtab"'
Autor:
Mylavarapu, Sravan, Sandhu, Mahtab, Vijayan, Priyesh, Krishna, K Madhava, Ravindran, Balaraman, Namboodiri, Anoop
We present a novel Multi-Relational Graph Convolutional Network (MRGCN) based framework to model on-road vehicle behaviors from a sequence of temporally ordered frames as grabbed by a moving monocular camera. The input to MRGCN is a multi-relational
Externí odkaz:
http://arxiv.org/abs/2005.04437
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Autor:
Mylavarapu, Sravan, Sandhu, Mahtab, Vijayan, Priyesh, Krishna, K Madhava, Ravindran, Balaraman, Namboodiri, Anoop
Understanding on-road vehicle behaviour from a temporal sequence of sensor data is gaining in popularity. In this paper, we propose a pipeline for understanding vehicle behaviour from a monocular image sequence or video. A monocular sequence along wi
Externí odkaz:
http://arxiv.org/abs/2002.00786