On Recognizing Actions in Still Images via Multiple Features

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A survey on still image based human action recognition (2014, methodology): “They considered the location of the center window j with respect to a coordinate frame defined by window i, labeled as the thick outlined box in Fig.”
BING: Binarized normed gradients for objectness estimation at 300fps (2014, unknown): “A generic objectness measure has great potential to be used as a pre-filter for many vision tasks, including object detection [3–5], visual tracking [6, 7], object discovery [8, 9], semantic segmentation [10, 11], content aware image retargeting [12], and action recognition [13].”
Prime Object Proposals with Randomized Prim's Algorithm (2013, background): “In a similar spirit, recent work has explored applications in object discovery [18], weakly supervised learning of object interaction with humans [19] or with other objects [5], as well as action recognition in still images [22] and content-aware media re-targeting [26].”