Model-based tracking of human walking in monocular image sequences
Huazhong Ning, Liang Wang, Weinting Hu, Tieniu Tan · 2004
Abstract We present a simple but effective method for recovering 3D human body walking parallel to the image plane from monocular video sequences based on 3D human body model, using robust image matching and specific search strategy. Monocular 3D body tracking is challenging, because of a large number of free parameters. These parameters are reduced to 12 in this paper under the assumption of walking parallel to the image plane. To effectively measure the matching error, a pose evaluation function combining both boundary and region information is provided. Simultaneously, we calculate the physical forces that are used as heuristic information in subsequent search. Experiments with both indoor and outdoor scenes demonstrate that our approach has an encouraging performance. 1