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We present a multitask network that supports various deep neural networkbased pedestrian detection functions. Besides 2D and 3D human pose, it alsosupports body and head orientation estimation based on full body bounding boxinput. This eliminates the need for explicit face recognition. We show that theperformance of 3D human pose estimation and orientation estimation iscomparable to the state-of-the-art. Since very few data sets exist for 3D humanpose and in particular body and head orientation estimation based on full bodydata, we further show the benefit of particular simulation data to train thenetwork. The network architecture is relatively simple, yet powerful, andeasily adaptable for further research and applications.

PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation