Deformable templates for tracking and analysis of intravascular ultrasound sequences

Escolano, Francisco; Cazorla, Miguel; Gallardo, Domingo; Aldeguer, Ramón Rizo

doi:10.1007/3-540-62909-2_101

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…Deformable template matching models have been applied to a variety of image recognition and analysis applications with success [13,14,15,16,17]. They not only enjoy the flexibility of a parameterized model, but also can be explained in a Bayesian framework.…”

Section: Deformable Template Matchingmentioning

confidence: 99%

Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis

Wang

Cosman

Palm

et al. 2005

EURASIP J. Adv. Signal Process.

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Egg laying is an important phase of the life cycle of the nematode Caenorhabditis elegans (C. elegans). Previous studies examined egg-laying events manually. This paper presents a method for automatic detection of egg-laying onset using deformable template matching and other morphological image analysis techniques. Some behavioral changes surrounding egg-laying events are also studied. The results demonstrate that the computer vision tools and the algorithm developed here can be effectively used to study C. elegans egg-laying behaviors. The algorithm developed is an essential part of a machine-vision system for C. elegans tracking and behavioral analysis

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Section: Deformable Template Matchingmentioning

confidence: 99%

Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis

Wang

Cosman

Palm

et al. 2005

EURASIP J. Adv. Signal Process.

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“…In this case objects are templates are associated to the head and hands. In this case T = 10 frames and ∆t = 1 and a robust elliptical template [10] model suffices. In this case only absolute constraints are used.…”

Section: Tracking and Recognizing Human Gesturesmentioning

confidence: 99%

A combined probabilistic framework for learning gestures and actions

Escolano

Cazorla

Gallardo

et al. 1998

Tasks and Methods in Applied Artificial Intelligence

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In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is encoded in parametric eigenspaces. Learning processes for compute modal subspaces (eigenspaces) are the core of tracking and recognition of gestures and tasks. We describe the overall architecture of the system and detail learning processes and gesture design. Finally we show experimental results of tracking and recognition in block-world like assembling tasks and in general human gestures.

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“…The use of ellipses as deformable templates was proposed in [8], where it was applied to the detection of vertebral contours, and in [9], where it was applied to ultrasound sequences. Using the snakes of [10] to specifically detect ellipses was first proposed in [11].…”

Section: Previous Workmentioning

confidence: 99%

The Ovuscule

Thévenaz

Delgado-Gonzalo

Unser

2011

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-We propose an active contour (a.k.a. snake) that takes the shape of an ellipse. Its evolution is driven by surface terms made of two contributions: the integral of the data over an inner ellipse, counterbalanced by the integral of the data over an outer elliptical shell. We iteratively adapt the active contour to maximize the contrast between the two domains, which results in a snake that seeks elliptical bright blobs. We provide analytic expressions for the gradient of the snake with respect to its defining parameters, which allows for the use of efficient optimizers. An important contribution here is the parameterization of the ellipse which we define in such a way that all parameters have equal importance; this creates a favorable landscape for the proceedings of the optimizer. We validate our construct with synthetic data and illustrate its use on real data as well.

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Deformable templates for tracking and analysis of intravascular ultrasound sequences

Cited by 4 publications

References 30 publications

Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis

Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis

A combined probabilistic framework for learning gestures and actions

The Ovuscule

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