Individual recognition from biological motion: Structural versus dynamic information
نویسندگان
چکیده
A familiar person can be recognized by the way he or she moves. We investigated this ability using point-light displays of seven different walkers shown from three different viewpoints. Each observer was presented with only one viewpoint and was trained to name the walkers. During training, diagnostic information was gradually reduced by normalizing the stimuli with respect to their size, their shape, and their speed. We evaluated the influence of those manipulations on the learning curve and on the performance in separate non-reinforced test sessions. Finally, the fully normalized walkers were shown in different orientations in order to test the observer’s ability to generalize to new viewpoints.
منابع مشابه
Decomposing biological motion: a framework for analysis and synthesis of human gait patterns.
Biological motion contains information about the identity of an agent as well as about his or her actions, intentions, and emotions. The human visual system is highly sensitive to biological motion and capable of extracting socially relevant information from it. Here we investigate the question of how such information is encoded in biological motion patterns and how such information can be retr...
متن کاملDynamic face recognition: From human to machine vision
As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart from the mere computation of the visual motion of the viewed objects, the motion itself conveys far more information, which helps understanding the scene. This paper provides an overview and some new insights on the use of...
متن کاملDepth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
This paper proposes three simple, compact yet effective representations of depth sequences, referred to respectively as Dynamic Depth Images (DDI), Dynamic Depth Normal Images (DDNI) and Dynamic Depth Motion Normal Images (DDMNI), for both isolated and continuous action recognition. These dynamic images are constructed from a segmented sequence of depth maps using hierarchical bidirectional ran...
متن کاملStructural similarity and spatiotemporal noise effects on learning dynamic novel objects.
The spatiotemporal pattern projected by a moving object is specific to that object, as it depends on both the shape and the dynamics of the object. Previous research has shown that observers learn to make use of this spatiotemporal signature to recognize dynamic faces and objects. In two experiments, we assessed the extent to which the structural similarity of the objects and the presence of sp...
متن کاملInfluence of Ground Motion Duration on the Structural Response at Multiple Seismic Intensity Levels
This paper aims to investigate the effects of motion duration on the structural seismic demands, seeking potential correlations between motion durations and structural responses at several seismic intensity levels. Three seismic intensity levels with 100years, 475years, and 2475years earthquake return periods (RPs) are first considered for correlation computations. Spectrally matched ground mot...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001