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Open AccessJournal ArticleDOI

Local velocity-adapted motion events for spatio-temporal recognition

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TLDR
A systematic experimental evaluation on a large video database with human actions demonstrates that local spatio-temporal image descriptors can be defined to carry important information of space-time events for subsequent recognition and that local velocity adaptation is an important mechanism in situations when the relative motion between the camera and the interesting events in the scene is unknown.
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This article is published in Computer Vision and Image Understanding.The article was published on 2007-12-01 and is currently open access. It has received 192 citations till now. The article focuses on the topics: Motion field & Motion estimation.

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Citations
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Journal ArticleDOI

A survey on vision-based human action recognition

TL;DR: A detailed overview of current advances in vision-based human action recognition is provided, including a discussion of limitations of the state of the art and outline promising directions of research.
Patent

Mobile human interface robot

TL;DR: In this paper, a volumetric point cloud imaging device is used to obtain a point cloud from a volume of space that includes a floor plane in a direction of movement of the mobile robot, and the controller receives point cloud signals from the imaging device and issues drive commands to the drive system based at least in part on the received point cloud signal.
Journal ArticleDOI

View-Independent Action Recognition from Temporal Self-Similarities

TL;DR: An action descriptor is developed that captures the structure of temporal similarities and dissimilarities within an action sequence and is shown to be stable under performance variations within a class of actions when individual speed fluctuations are ignored.
Patent

Mobile robot system

TL;DR: In this article, a robot system consisting of a mobile robot (100) having a controller (500) executing a control system (510) for controlling operation of the robot, a cloud computing service (1620) in communication with the controller of robot, and a remote computing device (310).
Journal ArticleDOI

Semantic Pooling for Complex Event Analysis in Untrimmed Videos

TL;DR: This work defines a novel notion of semantic saliency that assesses the relevance of each shot with the event of interest and proposes a new isotonic regularizer that is able to exploit the constructed semantic ordering information.
References
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Statistical learning theory

TL;DR: Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
Proceedings ArticleDOI

Object recognition from local scale-invariant features

TL;DR: Experimental results show that robust object recognition can be achieved in cluttered partially occluded images with a computation time of under 2 seconds.
Proceedings ArticleDOI

A Combined Corner and Edge Detector

TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Book

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

TL;DR: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory, and will guide practitioners to updated literature, new applications, and on-line software.
Proceedings Article

An iterative image registration technique with an application to stereo vision

TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.
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