Multiple Human Tracking in RGB-D Data: A Survey

摘要: Multiple human tracking (MHT) is a fundamental task in many computer vision applications. Appearance-based approaches, primarily formulated on RGB data, are constrained and affected by problems arising from occlusions and/or illumination variations. In recent years, the arrival of cheap RGB-Depth (RGB-D) devices has {led} to new approaches MHT, these integrate color depth cues improve each every stage process. this survey, we present common processing pipeline methods review their methodology based (a) how they implement (b) what role plays within it. We identify introduce existing, publicly available, benchmark datasets software resources that fuse data for MHT. Finally, brief comparative evaluation performance those works have applied datasets.