Dr. Waqas Hassan Profile

Dr. Waqas Hassan

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Publications (7)

Proceedings Article | 5 March 2014 Paper

PHACT: Parallel HOG and Correlation Tracking

Waqas Hassan, Philip Birch, Rupert Young, Chris Chatwin

Proceedings Volume 9026, 902602 (2014) https://doi.org/10.1117/12.2039181

KEYWORDS: Image filtering, Sensors, Detection and tracking algorithms, Optical correlators, Video, Electronic filtering, Fourier transforms, Cameras, Light sources and illumination, Optical filters

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Proceedings Article | 19 March 2013 Paper

An improved background segmentation method for ghost removals

Waqas Hassan, Philip Birch, Rupert Young, Chris Chatwin

Proceedings Volume 8663, 86630W (2013) https://doi.org/10.1117/12.2008653

KEYWORDS: Image segmentation, Light sources and illumination, Video surveillance, Video, Manganese, Computer security, Cameras, Surveillance systems, Convolution, Information science

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Proceedings Article | 3 June 2011 Paper

Door surveillance using edge map-based Harris corner detector and active contour orientation

Nagachetan Bangalore, Waqas Hassan, Bhargav Mitra, Philip Birch, Rupert Young, Chris Chatwin

Proceedings Volume 8056, 805608 (2011) https://doi.org/10.1117/12.883843

KEYWORDS: Surveillance, Cameras, Sensors, Corner detection, Hough transforms, Video, Video surveillance, Detection and tracking algorithms, Surveillance systems, Image filtering

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Accurately generating an alarm for a moving door is a precondition for tracking, recognizing and segmenting objects or people entering or exiting the door. The challenge of generating an alarm when a door event occurs is difficult when dealing with complex doors, moving cameras, objects moving or an obscured entrance of the door, together with the presence of varying illumination conditions such as a door-way light being switched on. In this paper, we propose an effective method of tracking the door motion using edge-map information contained within a localised region at the top of the door. The region is located where the top edge of the door displaces every time the door is opened or closed. The proposed algorithm uses the edge-map information to detect the moving corner in the small windowed area with the help of a Harris corner detector. The moving corner detected in the selected region gives an exact coordinate of the door corner in motion, thus helping in generating an alarm to signify that the door is being opened or closed. Additionally, due to the prior selection of the small region, the proposed method nullifies the adverse effects mentioned above and helps prevent different objects that move in front of the door affecting its efficient tracking. The proposed overall method also generates an alarm to signify whether the door was displaced to provide entry or exit. To do this, an active contour orientation is computed to estimate the direction of motion of objects in the door area when an event occurs. This information is used to distinguish between objects and entities entering or exiting the door. A Hough transform is applied on a specific region in the frame to detect a line, which is used to perform error correction to the selected windows. The detected line coordinates are used to nullify the effects of a moving camera platform, thus improving the robustness of the results. The developed algorithm has been tested on all the Door Zone video sequences contained with the United Kingdom Home Office i-LIDs dataset, with promising results.

Proceedings Article | 26 April 2011 Paper

Tracking illegally parked vehicles using correlation of multi-scale difference of Gaussian filtered patches

Bhargav Mitra, Waqas Hassan, Nagachetan Bangalore, Philip Birch, Rupert Young, Chris Chatwin

Proceedings Volume 8055, 805503 (2011) https://doi.org/10.1117/12.883821

KEYWORDS: Image filtering, Distortion, Bandpass filters, Electronic filtering, Video, RGB color model, Gaussian filters, Image segmentation, Video surveillance, Algorithm development

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Proceedings Article | 26 April 2011 Paper

Robust human intrusion detection technique using hue-saturation histograms

Waqas Hassan, Bhargav Mitra, Nagachetan Bangalore, Philip Birch, Rupert Young, Chris Chatwin

Proceedings Volume 8055, 80550J (2011) https://doi.org/10.1117/12.883973

KEYWORDS: Video, Distortion, RGB color model, Image segmentation, Light sources and illumination, Computer intrusion detection, Cameras, Chromium, Binary data, Detection and tracking algorithms

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Proceedings Article | 13 May 2010 Paper

Illumination invariant method to detect and track left luggage in public areas

Waqas Hassan, Bhargav Mitra, Chris Chatwin, Rupert Young, Philip Birch

Proceedings Volume 7696, 76961V (2010) https://doi.org/10.1117/12.849224

KEYWORDS: Databases, Binary data, Cameras, Electronic filtering, Image segmentation, Distortion, RGB color model, Gaussian filters, Imaging systems, Video

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Proceedings Article | 15 April 2010 Paper

A two-stage approach to detect abandoned baggage in public places

Bhargav Mitra, Waqas Hassan, Philip Birch, Akber Gardezi, Rupert Young, Chris Chatwin

Proceedings Volume 7701, 770107 (2010) https://doi.org/10.1117/12.849215

KEYWORDS: RGB color model, Binary data, Sensors, Detection and tracking algorithms, Distortion, Algorithm development, Cameras, Roentgenium, Information security, Intelligence systems

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Showing 5 of 7 publications

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