Contribution of Visuospatial and Motion-Tracking to Invisible Motion

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Contribution of Visuospatial and Motion-Tracking to Invisible Motion

People experience an object's motion even when it is occluded. We investigate the processing of invisible motion in three experiments. Observers saw a moving circle passing behind an invisible, irregular hendecagonal polygon and had to respond as quickly as possible when the target had "just reappeared" from behind the occluder. Without explicit cues allowing the end of each of the eight hidden...

متن کامل

Applying mean shift and motion detection approaches to hand tracking in sign language

Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...

متن کامل

The Invisible Hand in Motion

Proofs of some propositions mentioned in the lecture may be found in Mukherji (2005).

متن کامل

Statistical Inference of Motion in the Invisible

This paper focuses on the unexplored problem of inferring motion of objects that are invisible to all cameras in a multiple camera setup. As opposed to methods for learning relationships between disjoint cameras, we take the next step to actually infer the exact spatiotemporal behavior of objects while they are invisible. Given object trajectories within disjoint cameras’ FOVs (field-ofview), w...

متن کامل

Motion Segmentation and Tracking

This paper presents a novel tracking based motion segmentation algorithm. The tracking is done by fitting successively more elaborate models of optical flow on the tracked region and the segmentation is done by extracting the regions of the image that are consistent with the computed model of flow. The method can track objects in image sequences with moving background, taken by a hand-held came...

متن کامل

ذخیره 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: Frontiers in Psychology

سال: 2016

ISSN: 1664-1078

DOI: 10.3389/fpsyg.2016.01369