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Abstract
In this paper we design and evaluate methods for exploiting temporal coherence present in video data for the task of instance object recognition. First, we evaluate the performance and generalisation capabilities of a Convolutional Neural Network for learning individual objects from multiple viewpoints coming from a video sequence. Then, we exploit the assumption that on video data the same object remains present over a number of consecutive frames. A-priori knowing such number of consecutive frames is a difficult task however, specially for mobile agents interacting with objects in front of them. Thus, we evaluate the use of temporal filters such as Cumulative Moving Average and a machine learning approach using Recurrent Neural Networks for this task. We also show that by exploiting temporal coherence, models trained with a few data points perform comparably to when the whole dataset is available.
Original language | English |
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Title of host publication | Advances in Visual Computing |
Subtitle of host publication | 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings |
Publisher | Springer, Cham |
Pages | 274-285 |
Number of pages | 12 |
ISBN (Electronic) | 9783030038014 |
ISBN (Print) | 9783030038007 |
DOIs | |
Publication status | Published - 8 Nov 2018 |
Event | International Symposium on Visual Computing - Las Vegas, Nevada, Las Vegas, United States Duration: 19 Nov 2018 → 21 Nov 2018 https://www.isvc.net/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 11241 |
ISSN (Print) | 0302-9743 |
Conference
Conference | International Symposium on Visual Computing |
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Abbreviated title | iscv 2018 |
Country/Territory | United States |
City | Las Vegas |
Period | 19/11/18 → 21/11/18 |
Internet address |
Keywords
- OBJECT RECOGNITION
- temporal modeling
- Deep Learning
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Dive into the research topics of 'Instance-level Object Recognition Using Deep Temporal Coherence'. Together they form a unique fingerprint.Projects
- 1 Finished
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GLANCE - EPSRC Call for Outlines - User Interaction with ICT
Mayol-Cuevas, W. W. (Principal Investigator)
4/04/16 → 2/02/22
Project: Research