Tag: Computer Vision

PGRs Research Presentations – October 2013

Amr Ahmed / / Postgraduate

The May’s PGRs Research Presentations was held on Wed. 9th October, 2pm, Meeting Room, MC3108 (3rd floor).

This session we had the following presentations:

Title: “Towards Verification and Validation of Crowd Simulation“. Title:   “COMPUTER VISION FOR THE FOOD INDUSTRY”

By: Oliver Szymanezyk

By: Eugenio Ivorra Martínez
Abstract:Human crowd motion is discussed to be driven by self-organising processes based on the local interaction amongst pedestrians. Despite past observations revealing the affect of social influences within pedestrian groups, they have been mostly neglected in the conceptualisation and implementation of simulated crowds. The impact of group structures on crowd dynamics is still relatively unknown, and developers are using assumptions and intuition within their models. In order to develop reliable and believable crowd simulation models that include group structures, it is necessary to use validated insights from interdisciplinary sociological and psychological research on crowds. Inspired by this need, we adapt computer vision technologies and crowd psychology research into a novel automated crowd simulation analysis tool. Our findings are implemented within an existing agent-based crowd simulation framework. The results demonstrate that the tool captures relevant quantitative data which returns insightful knowledge about the collective group movement of simulated pedestrians. Abstract: Computer vision is widely used for solve all kind of problems in the food industry (e.g. quality assurance of food products, checking the integrity of food packaging, and product manipulation).Until recently only 2D vision was used for these tasks. However, with the evolution of the technology, news fields have been opened for the industry in order to deal with unsolved problems or enhance the current solutions. Two of these fields include 3D vision and hyper-spectral imaging.

In this presentation I will introduce these fields and some solutions that we have developed. Our works are related mainly to quality assurance using non-destructive methods. This includes two works using hyperspectral imaging in which we have measured the food’s freshness, one for chicken breasts and another for smoked salmon.  In other work, we compared two different methods of capturing 3D images (time-of-flight and structured light) for scanning food. In addition, I will talk about the on-going and future work.

 

 

 

The Q/A was followed by a brief cath-up meeting, welcoming new PGRs arrivals and updates on the latest procedures.

 

New Conference paper Accepted to the “ World Congress on Engineering 2013”

Saddam Bekhet / / Conference, Postgraduate, Publication, Uncategorized

New Conference paper accepted for publishing in  “World Congress on Engineering 2013“.

The paper title is “Video Matching Using DC-image and Local Features ”

Abstract:

This paper presents a suggested framework for video matching based on local features extracted from the DC-image of MPEG compressed videos, without decompression. The relevant arguments and supporting evidences are discussed for developing video similarity techniques that works directly on compressed videos, without decompression, and especially utilising small size images. Two experiments are carried to support the above. The first is comparing between the DC-image and I-frame, in terms of matching performance and the corresponding computation complexity. The second experiment compares between using local features and global features in video matching, especially in the compressed domain and with the small size images. The results confirmed that the use of DC-image, despite its highly reduced size, is promising as it produces at least similar (if not better) matching precision, compared to the full I-frame. Also, using SIFT, as a local feature, outperforms precision of most of the standard global features. On the other hand, its computation complexity is relatively higher, but it is still within the real-time margin. There are also various optimisations that can be done to improve this computation complexity.

Well done and congratulations to Saddam Bekhet .

PGRs Research Presentations – April 2013

Amr Ahmed / / Uncategorized

The April’s PGRs Research Presentations was held on Wed. 10th April, 2pm, Meeting Room, MC3108 (3rd floor).

In this session we had the following presentations:

Title: “Analysis of Wing Beat Frequency using Computer Vision Techniques“.

By: John Atanbori

Abstract:Computer vision techniques have been used extensively to automatically monitor human activities; however applications for analysing animal behaviour are sparse. The analysis of bat behaviour in particular has attracted only one or two studies. Most existing work uses either expensive thermal imaging equipment, or bespoke sensors which are not accessible to field researchers, ecologists, and scientists studying behaviour. The work we present here uses spectral analysis techniques to quantify wing beat frequency, using a single imaging device in low-light. We then propose two improved techniques based on bounded box metrics and similarity matrices for measuring periodic and cyclical motion as a 1D time domain signal and transforming them to the frequency domain using Short Time Fourier Transform (STFT). Finally we evaluate these techniques against a baseline algorithm proposed by Cutler and Davis, using expert-annotated ground-truth data.  

The Q/A was followed by a meeting discussing various aspects, including the available PG courses (from the Graduate School and others), PG week, PG Conference, potential PG Showcase Event,……etc.