Visual motion perception.

By Thomas D. Albright, G. Stoner. 1995

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Citations in the corpus

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks (2017, background): “Humans can recognize actions with a few spots describing motions of the main joints of skeletons [24], and experiments show that a large set of actions can be recognized solely from skeletons [25].”
The dynamics of visual adaptation to faces (2005, background): “Note that this exponential decay is characteristic of aftereffects of motion (Sekuler 1975; Keck & Pentz 1977), orientation (Wolfe 1984; Magnussen & Johnsen 1986; Harris & Calvert 1989) and shape (Krauskopf 1954).”
Unsupervised Bayesian Detection of Independent Motion in Crowds (2006, methodology): “We are inspired by Johansson’s experiments where only “moving light” at the joints of one actor allowed perception subjects to recognize that it was human motion, and to identify the activities and eventually the gender of the performer [8].”
Neuronal synchrony: a versatile code for the definition of relations? (1999, unknown): “Which percept dominates depends on the luminance of grating intersections because this variable defines the degree of transparency (Albright and Stoner, 1995).”
Subspace methods for recovering rigid motion I: Algorithm and implementation (2004, background): “It is now well known that the visual system has mechanisms that are specifically suited for analyzing motion (for review, see Nakayama [1985]), and that human observers are capable of recovering accurate information about the world (e.g., three-dimensional trajectory, relative distance, shape) from ”
Human motion tracking for rehabilitation - A survey (2008, background): “In 1973, Johansson explored his famous Moving Light Display (MLD) psychological experiment, to perceive biological motion [91].”
Reconstruction of articulated objects from point correspondences in a single uncalibrated image (2000, background): “Much of the early work in the computer vision literature on the problem of reco veringthe motion of articulated gures in images was inspired by Johansson's groundbreaking work on Moving Light Displays (MLDs) [7].”
Biometric Gait Authentication Using Accelerometer Sensor (2006, background): “First studies on the recognition of human gait were reported from medicine and psychology [11], [12].”
Human detection from images and videos: A survey (2016, methodology): “Motivated by the study of perception of biological motion [84], Song et al.”
GEINet: View-invariant gait recognition using a convolutional neural network (2016, background): “Gait has been regarded as a behavioral biometric within the biometrics research community since early-stage studies on gait recognition based on biological motion [16] and image processing [36], and a subsequent large body of recent studies on gait recognition during the last two decades [27].”
Representing and anticipating human actions in vision (2002, background): “…pattern of a dozen point lights attached to the major joints of an actor, observers immediately perceive a biological creature involved in effortlessly identified activities (e.g., Dittrich, 1993; Grossman et al., 2000; Johansson, 1973, 1975; Thornton, Pinto, & Shiffrar, 1998; Verfaillie, 2000).”