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Project 'Rathlin' aims to conduct research on developing programmable embedded platforms for remote and compute-intensive image processing applications.

Andrew Wallace


Email andy

0044 - (0) 131 451 3423


Vision Lab, Institute of Sensors, Signals and Systems,

Heriot-Watt University,


EH14 4AS

United Kingdom

Research overview

My interests are in Signal Processing and Image Analysis. My principal areas of current interest include

• 3D imaging and interpretation, especially using LiDAR systems
• Video analytics, including human and vehicle tracking, behavioural analysis and human robot communication
• Embedded and parallel software implementations of signal and image processing algorithms

This work is supported by current funding from the Engineering and Physical Sciences Research Council and the European Community Factories of the Future programme. Particular highlights include the development of Bayesian techniques to interpret remotely sensed, multi-spectral LiDAR data to monitor forest dynamics as an aid to building models of climate change. We are also engaged in several projects to monitor the movement of human and other actors from sensor networks. This includes fixed CCTV networks, in which video data is analysed for both movement and behaviour. From mobile vehicles, we aim to build models of situational awareness using other technologies, such as LiDAR and polarimetric infrared imagery. This feeds into both driver assistance and vehicle autonomy. Finally, we are aware that the complexity of modern signal and image processing algorithms demands accelerated processing. Therefore, we are engaged in projects to both deliver new types of image processor, but also to develop parallel algorithms for heterogeneous architectures with multicore CPU, GPU and FPGA components.

Recent publications

  • S Matzka, AM Wallace and YR Petillot, Efficient Resource Allocation for Automotive Attentive Vision Systems, IEEE Transactions on Intelligent Transportation Systems, 2012, now online.
  • AM Wallace, CN Nichol and IH Woodhouse, Recovery of Forest Canopy Parameters by Inversion of Multispectral Lidar Data, Remote Sensing, 4(2), 509-531, 2012.
  • Z.L. Husz, A.M. Wallace and P.R. Green, Behavioural Analysis with Movement Cluster Model for Concurrent Actions, EURASIP Journal on Image and Video Processing, doi:10.1155/2011/365307, Article ID 365307, 21 pages, 2011.
  • Z.L. Husz, A.M. Wallace and P.R. Green, Tracking with a hierarchical partitioned particle filter and movement modeling, IEEE Transactions on Systems, Man and Cybernetics, 41(6), pp1571 - 1584, 2011.
  • Aongus McCarthy, Robert J. Collins, Nils J. Krichel, Verónica Fernández, Andrew M. Wallace and Gerald S. Buller, Long-range time-of-flight scanning sensor based on high-speed time-correlated single-photon counting, Applied Optics, Vol. 48, Issue 32, pp. 6241-6251, 2010.
  • Andrew M. Wallace, Jing Ye, Nils J. Krichel, Aongus McCarthy, Robert J. Collins and Gerald S. Buller, Full Waveform Analysis for Long-range 3D Imaging Laser Radar, EURASIP Journal on Advances in Signal Processing, Article ID 896708, 12 pages doi:10.1155/2010/896708, 2010.
  • H. Zhou, A.M. Wallace and P.R. Green, Efficient tracking and ego-motion recovery using gait analysis, Signal Processing Review, 89(12), 2367-2384, April 2009.
  • S. Hernandez-Marin, A. M. Wallace and G. J. Gibson, Multilayered 3D LiDAR image construction using spatial models in a Bayesian framework, IEEE Trans. Pattern Analysis and Machine Intelligence, 30(6), pp1028-1040, 2008.
  • S. Xu and A.M. Wallace, Recovering surface reflectance and multiple light locations and intensities from image data, Pattern Recognition Letters, 29(11), pp1639-1647, 2008.
  • AF Nayak, E. Trucco, A. Ahmad, and A.M. Wallace, SimBIL: appearance-based simulation of burst-illumination laser sequences, IET Proceedings on Image Processing, 2(3), pp165-174, 2008.
  • S. Hernandez-Marin, A. M. Wallace and G. J. Gibson, Bayesian analysis of lidar signals with multiple returns, IEEE Trans. Pattern Analysis and Machine Intelligence, 29(12), pp2170-2180, 2007.
  • Stephan Matzka, Yvan Petillot and Andrew Wallace, Fast motion estimation in range images acquired with a 3D camera, Proceedings of British Machine Vision Conference, pp750-759, 2007.
  • Zezhi Chen and Andrew Wallace, Active segmentation and adaptive tracking using level sets, Proceedings of British Machine Vision Conference, pp920-929, 2007.
  • GS Buller and AM Wallace, Ranging and three-dimensional imaging using time-correlated single-photon counting and point-by-point acquisition, IEEE Journal on Selected Topics in Quantum Electronics, 13(4), pp1006-1015, 2007.
  • Ryan E Warburton, Aongus McCarthy, Andrew M Wallace, Sergio Hernandez-Marin, Robert H Hadfield, Sae Woo Nam, and Gerald S Buller, Sub-centimetre depth resolution using a single-photon counting time-of-flight laser ranging system at 1550nm wavelength, Optics Letters, 32(15), 2266-2268, 2007.
  • Wallace, A.M., Sung, R., Buller, G.S., Harkins, R.D., Ayre,C., Foster, C. and Lamb, R., Detecting and characterizing returns in a multi-spectral pulsed lidar system, IEE Proceedings Vision, Image and Signal Processing, 153(2), 160-172, 2006.
  • Liang, B. and Wallace, A.M., Viewpoint independent matching of planar curves in 3D space, Pattern Recognition, 37(4), pp525-542, 2004.
  • Wallace, A.M. and McLaren, D., Gradient detection in log-polar images, Pattern Recognition Letters, 24, pp2463-2470, 2003.
  • Csakany, P. and Wallace, A.M., Representation and classification of 3D objects, IEEE Transactions on Systems, Man and Cybernetics, 33(4), pp638-647, 2003.