Seeing (social) relations: human visual specialization for dyadic interactions
نویسندگان
چکیده
منابع مشابه
Measuring Interest of Human Dyadic Interactions
In this paper, we argue that only using behavioural motion information, we are able to predict the interest of observers when looking at face-to-face interactions. We propose a set of movement-related features from body, face, and mouth activity in order to define a set of higher level interaction features, such as stress, activity, speaking engagement, and corporal engagement. Error-Correcting...
متن کاملSeeing patterns in human visual cortex.
world through the relatively small windows of their receptive fields. This creates a perceptual dilemma known as the ‘aperture problem’, in which the locally ambiguous views of individual cells must be resolved into higher-order percepts that are consistent with the whole. When cells in V1 see a moving plaid (grid), for example, they respond to the direction and orientation of the component lin...
متن کاملSeeing sounds: visual and auditory interactions in the brain.
Objects and events can often be detected by more than one sensory system. Interactions between sensory systems can offer numerous benefits for the accuracy and completeness of the perception. Recent studies involving visual-auditory interactions have highlighted the perceptual advantages of combining information from these two modalities and have suggested that predominantly unimodal brain regi...
متن کاملPredicting Social Interactions for Visual Tracking
Human interaction dynamics are known to play an important role in the development of robust pedestrian trackers that are applicable to a variety of applications in video surveillance. Traditional approaches to pedestrian tracking assume that each pedestrian walks independently and the tracker predicts the location based on an underlying motion model, such as a constant velocity or autoregressiv...
متن کاملSpatio-Temporal Detection of Fine-Grained Dyadic Human Interactions
We introduce a novel spatio-temporal deformable part model for offline detection of fine-grained interactions in video. One novelty of the model is that part detectors model the interacting individuals in a single graph that can contain different combinations of feature descriptors. This allows us to use both body pose and movement to model the coordination between two people in space and time....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vision
سال: 2019
ISSN: 1534-7362
DOI: 10.1167/19.10.55b