Search Results for author: Sareh Shirazi

Found 9 papers, 2 papers with code

On Encoding Temporal Evolution for Real-time Action Prediction

no code implementations22 Sep 2017 Fahimeh Rezazadegan, Sareh Shirazi, Mahsa Baktashmotlagh, Larry S. Davis

Anticipating future actions is a key component of intelligence, specifically when it applies to real-time systems, such as robots or autonomous cars.

Action Recognition: From Static Datasets to Moving Robots

no code implementations18 Jan 2017 Fahimeh Rezazadegan, Sareh Shirazi, Ben Upcroft, Michael Milford

Deep learning models have achieved state-of-the- art performance in recognizing human activities, but often rely on utilizing background cues present in typical computer vision datasets that predominantly have a stationary camera.

Action Recognition Temporal Action Localization

Unsupervised Human Action Detection by Action Matching

no code implementations2 Dec 2016 Basura Fernando, Sareh Shirazi, Stephen Gould

On the MPII Cooking dataset we detect action segments with a precision of 21. 6% and recall of 11. 7% over 946 long video pairs and over 5000 ground truth action segments.

Action Detection Activity Recognition

ARTiS: Appearance-based Action Recognition in Task Space for Real-Time Human-Robot Collaboration

no code implementations18 Oct 2016 Markus Eich, Sareh Shirazi, Gordon Wyeth

Common approaches make use of high-level knowledge, such as object affordances, semantics or understanding of actions in terms of pre- and post-conditions.

Action Recognition One-Shot Learning +2

Evaluation of Object Detection Proposals Under Condition Variations

no code implementations10 Dec 2015 Fahimeh Rezazadegan, Sareh Shirazi, Michael Milford, Ben Upcroft

Object detection is a fundamental task in many computer vision applications, therefore the importance of evaluating the quality of object detection is well acknowledged in this domain.

Object object-detection +1

On the Performance of ConvNet Features for Place Recognition

1 code implementation17 Jan 2015 Niko Sünderhauf, Feras Dayoub, Sareh Shirazi, Ben Upcroft, Michael Milford

Computer vision datasets are very different in character to robotic camera data, real-time performance is essential, and performance priorities can be different.

Visual Navigation

Bags of Affine Subspaces for Robust Object Tracking

no code implementations11 Aug 2014 Sareh Shirazi, Conrad Sanderson, Chris McCool, Mehrtash T. Harandi

We propose an adaptive tracking algorithm where the object is modelled as a continuously updated bag of affine subspaces, with each subspace constructed from the object's appearance over several consecutive frames.

Object Object Tracking

Object Tracking via Non-Euclidean Geometry: A Grassmann Approach

no code implementations3 Mar 2014 Sareh Shirazi, Mehrtash T. Harandi, Brian C. Lovell, Conrad Sanderson

A robust visual tracking system requires an object appearance model that is able to handle occlusion, pose, and illumination variations in the video stream.

Object Object Tracking +1

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