Search Results for author: Sion Hannuna

Found 6 papers, 0 papers with code

VI-Net: View-Invariant Quality of Human Movement Assessment

no code implementations11 Aug 2020 Faegheh Sardari, Adeline Paiement, Sion Hannuna, Majid Mirmehdi

We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data.

3D Action Recognition Action Analysis +1

Towards automated mobile-phone-based plant pathology management

no code implementations19 Dec 2019 Nantheera Anantrasirichai, Sion Hannuna, Nishan Canagarajah

This paper presents a framework which uses computer vision algorithms to standardise images and analyse them for identifying crop diseases automatically.


CaloriNet: From silhouettes to calorie estimation in private environments

no code implementations21 Jun 2018 Alessandro Masullo, Tilo Burghardt, Dima Damen, Sion Hannuna, Victor Ponce-López, Majid Mirmehdi

We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discarded and replaced by silhouettes.

Automatic Leaf Extraction from Outdoor Images

no code implementations19 Sep 2017 N. Anantrasirichai, Sion Hannuna, Nishan Canagarajah

Automatic plant recognition and disease analysis may be streamlined by an image of a complete, isolated leaf as an initial input.

Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home

no code implementations27 Jul 2016 Lili Tao, Tilo Burghardt, Majid Mirmehdi, Dima Damen, Ashley Cooper, Sion Hannuna, Massimo Camplani, Adeline Paiement, Ian Craddock

We present a new framework for vision-based estimation of calorific expenditure from RGB-D data - the first that is validated on physical gas exchange measurements and applied to daily living scenarios.

Multiple Human Tracking in RGB-D Data: A Survey

no code implementations14 Jun 2016 Massimo Camplani, Adeline Paiement, Majid Mirmehdi, Dima Damen, Sion Hannuna, Tilo Burghardt, Lili Tao

Finally, we present a brief comparative evaluation of the performance of those works that have applied their methods to these datasets.

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