Pattern Recognition
10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings
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Article
Open AccessCorrection: Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring
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Article
Open AccessTowards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring
Advances in visual perceptual tasks have been mainly driven by the amount, and types, of annotations of large-scale datasets. Researchers have focused on fully-supervised settings to train models using offline...
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Chapter and Conference Paper
LocaliseBot: Multi-view 3D Object Localisation with Differentiable Rendering for Robot Gras**
Robot grasp typically follows five stages: object detection, object localisation, object pose estimation, grasp pose estimation, and grasp planning. We focus on object pose estimation. Our approach relies on t...
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Chapter and Conference Paper
Spatio-Temporal Event Segmentation for Wildlife Extended Videos
Using offline training schemes, researchers have tackled the event segmentation problem by providing full or weak-supervision through manually annotated labels or self-supervised epoch-based training. Most wor...
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Chapter and Conference Paper
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration
Graph-based representations are becoming increasingly popular for representing and analyzing video data, especially in object tracking and scene understanding applications. Accordingly, an essential tool in th...
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Chapter and Conference Paper
Actor-Centered Representations for Action Localization in Streaming Videos
Event perception tasks such as recognizing and localizing actions in streaming videos are essential for scaling to real-world application contexts. We tackle the problem of learning actor-centered representations...
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Article
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data
Complex analyses involving multiple, dependent random quantities often lead to graphical models—a set of nodes denoting variables of interest, and corresponding edges denoting statistical interactions between ...
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Living Reference Work Entry In depth
Gait Recognition
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Chapter and Conference Paper
Action Localization Through Continual Predictive Learning
The problem of action localization involves locating the action in the video, both over time and spatially in the image. The current dominant approaches use supervised learning to solve this problem. They requ...
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Book and Conference Proceedings
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Chapter
On the Inherent Explainability of Pattern Theory-Based Video Event Interpretations
The ability of artificial intelligence systems to offer explanations for its decisions is central to building user confidence and structuring smart human-machine interactions. Expressing the rationale behind s...
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Article
Spatially Coherent Interpretations of Videos Using Pattern Theory
Activity interpretation in videos results not only in recognition or labeling of dominant activities, but also in semantic descriptions of scenes. Towards this broader goal, we present a combinatorial approach...
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Chapter
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs
We present a probabilistic framework to automatically learn models of recurring signs from multiple sign language video sequences containing the vocabulary of interest. We extract the parts of the signs that a...
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Article
Non-Boolean computing with nanomagnets for computer vision applications
The field of nanomagnetism has recently attracted tremendous attention as it can potentially deliver low-power, high-speed and dense non-volatile memories. It is now possible to engineer the size, shape, spaci...
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Article
Indirect costs: The reimbursement gap
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Reference Work Entry In depth
Gait Recognition, Evaluation
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Chapter and Conference Paper
Scene-Dependent Intention Recognition for Task Communication with Reduced Human-Robot Interaction
In order for assistive robots to collaborate effectively with humans, they must be endowed with the ability to perceive scenes and more importantly, recognize human intentions. These intentions are often infer...
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Living Reference Work Entry In depth
Gait Recognition: Evaluation
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Chapter and Conference Paper
View-Invariant Method for Calculating 2D Optical Strain
Two-dimensional optical strain maps have been shown to be a useful feature that describes a bio-mechanical property of facial skin tissue during the non-rigid motion that occurs during facial expressions. In t...
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Chapter
People Counter: Counting of Mostly Static People in Indoor Conditions
The ability to count people from video is a challenging problem. The scientific challenge arises from the fact that although the task is relatively well-defined, the imaging scenario is not well constrained. T...
