scholarly journals Predictive Tracking of Continuous Object Boundaries Using Sparse Local Estimates

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 152881-152899
Author(s):  
Dimitris V. Manatakis ◽  
Elias S. Manolakos
Keyword(s):  
Continuous Object

scholarly journals The Limiting Case of Amodal Completion: The Phenomenal Salience and the Role of Contrast Polarity

2019 ◽  
Vol 9 (6) ◽  
pp. 149 ◽  
Author(s):  
Pinna ◽  
Conti
Keyword(s):  
Perceptual Organization ◽  
Amodal Completion ◽  
Main Question ◽  
Good Continuation ◽  
Contrast Polarity ◽  
Visual Phenomenon ◽  
Continuous Object ◽  
Limiting Case ◽  
Visual Properties

In this work, we demonstrated unique and relevant visual properties imparted by contrast polarity in perceptual organization and in eliciting amodal completion, which is the vivid completion of a single continuous object of the visible parts of an occluded shape despite portions of its boundary contours not actually being seen. T-junction, good continuation, and closure are considered the main principles involved according to relevant explanations of amodal completion based on the simplicity–Prägnanz principle, Helmholtz’s likelihood, and Bayesian inference. The main interest of these approaches is to explain how the occluded object is completed, what is the amodal shape, and how contours of partially visible fragments are relatable behind an occluder. Different from these perspectives, amodal completion was considered here as a visual phenomenon and not as a process, i.e., the final outcome of perceptual processes and grouping principles. Therefore, the main question we addressed through our stimuli was “What is the role of shape formation and perceptual organization in inducing amodal completion?” To answer this question, novel stimuli, similar to limiting cases and instantiae crucis, were studied through Gestalt experimental phenomenology. The results demonstrated the domination of the contrast polarity against good continuation, T-junctions, and regularity. Moreover, the limiting conditions explored revealed a new kind of junction next to the T- and Y-junctions, respectively responsible for amodal completion and tessellation. We called them I-junctions. The results were theoretically discussed in relation to the previous approaches and in the light of the phenomenal salience imparted by contrast polarity.

DETECTING GHOST AND LEFT OBJECTS IN SURVEILLANCE VIDEO

2009 ◽  
Vol 23 (07) ◽  
pp. 1503-1525 ◽  
Author(s):  
SIJUN LU ◽  
JIAN ZHANG ◽  
DAVID DAGAN FENG
Keyword(s):  
Object Tracking ◽  
Shape Matching ◽  
Detection Method ◽  
Input Image ◽  
Second Step ◽  
Surveillance Systems ◽  
Surveillance Video ◽  
Stationary Objects ◽  
Continuous Object ◽  
Background Image

This paper proposes an efficient method for detecting ghost and left objects in surveillance video, which, if not identified, may lead to errors or wasted computational power in background modeling and object tracking in video surveillance systems. This method contains two main steps: the first one is to detect stationary objects, which narrows down the evaluation targets to a very small number of regions in the input image; the second step is to discriminate the candidates between ghost and left objects. For the first step, we introduce a novel stationary object detection method based on continuous object tracking and shape matching. For the second step, we propose a fast and robust inpainting method to differentiate between ghost and left objects by reconstructing the real background using the candidate's corresponding regions in the current input and background image. The effectiveness of our method has been validated by experiments over a variety of video sequences and comparisons with existing state-of-art methods.

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