Where's Waldo: Matching people in images of crowds

30 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Faceless Person Recognition: Privacy Implications in Social Media (2016, background): “Various other cues have been explored, for example: attributes classification [40, 41], social context [42, 43], relative camera positions [44], space-time priors [45], and photo-album priors [46].”
Beyond frontal faces: Improving Person Recognition using multiple cues (2015, background): “In [13], the authors try to find all images of each person in the scene from a crowed public event.”
Person Recognition in Personal Photo Collections (2015, background): “Multiple other cues have been explored, for example: attributes classification [24, 25], explicit cloth modelling [15], relative camera positions [18], social context [16, 35], space-time priors [28], and photo-album priors [34].”
Saliency Weighted Features for Person Re-identification (2014, methodology): “In [13], a 2D rigid part based color appearance model was used to localize and match individuals in 3D system computed by means of the structure-from-motion technique.”
Semantic structure from motion with points, regions, and objects (2012, background): “Among these works (e.g. [12] [15] [11] [25] [10] [20] [6] [13]), most assume that only a single image is available, whereas a handful of them model this problem with multiple images.”