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PhD (University of New South Wales), MSc (Victoria University of Manchester)
Prof Sridha Sridharan is the Program Leader of the Signal Processing, Artificial Intelligence and Vision Technologies (SAIVT) Research Program at QUT. Please see Google Scholar for Prof Sridha Sridharan's areas of research interest and publications: https://scholar.google.com.au/citations?hl=en&user=v8-lMdUAAAAJ
https://research.qut.edu.au/saivt/ Professor Sridharan has received grants for his research in excess of $20M from competitive and industry funding sources. He has received 10 Australian Research Council (ARC) grants (7 ARC Discovery/Large and 12 ARC Linkage/Collaborative/APAI);Prof Sridharan has supervised 86 PhD students at QUT (as a Principal or active Associate Supervisor) in the area of Image and Speech Technologies. He has published over 400 papers consisting of 9 book chapters, 104 journal articles and over 300 refereed international conference publications the areas of Speech and Image technologies. Prof Sridharan is currently engaged in research in the following areas: Image and Video Technology - Computer Vision and Machine Learning: Computer Vision; Video Surveillance; Multi-camera management; Crowd Monitoring; Abnormal Event Detection;Person Detection and Tracking;Vehicle Detection and Tracking; Video Event Detection; Human Identification at Distance; Soft Biometrics; Multimodal Biometrics; Anti-spoofing Biometrics; Iris Recognition at a Distance; Gait Recognition; 2-D and 3-D Face Recognition – Cooperative and Uncooperative; Facial Expression Recognition; Face Clustering and diarisation; Human Action Recognition;Object recognition and scene understanding; Multispectral and hyperspectral image analysis; Sports analytics;Image analysis for unmanned aircrafts; 3-D modelling of objects and scenes; Robot navigation and robot-human interaction; Video indexing, search, retrieval and summarisation. Speech and Audio Technology: Signal Processing and Recognition:Speech Detection, Speech Enhancement Single/Multi-microphone; Language Identification; Speaker Verification and Identification; Speech Recognition; Key Word Spotting/Spoken Term Detection; Speaker Indexing/Diarisation/Segmentation/Clustering ;Speaker Role Detection; Multimodal Speech Processing (audio and video);Speech Emotion Detection. For more details see: https://research.qut.edu.au/saivt/
Projects
- Automated Video Endoscopy Data Analysis
- Crowd Monitoring Using Computer Vision
- Handheld 3D Thermography using Range Sensing and Computer Vision
- Human Action Anticipation
- Human Identification in Video Surveillance Using Improved Gait Recognition Approaches
- Optimal Camera Placement
- Person Re-identification using Soft-Biometrics
- Trajectory Based Human Behaviour Understanding
- Unusual Event Detection in Crowded Scenes
Additional information
- Thanikasalam, K., Fookes, C., Sridharan, S., Ramanan, A. & Pinidiyaarachchi, A. (2020). Target-specific Siamese attention network for real-time object tracking. IEEE Transactions on Information Forensics and Security, 15, 1276–1289. https://eprints.qut.edu.au/134441
- Park, C., Kim, S., Moghadam, P., Guo, J., Sridharan, S. & Fookes, C. (2019). Robust photogeometric localization over time for map-centric loop closure. IEEE Robotics and Automation Letters, 4(2), 1768–1775. https://eprints.qut.edu.au/128928
- Sha, L., Lucey, P., Yue, Y., Wei, X., Hobbs, J., Rohlf, C. & Sridharan, S. (2018). Interactive sports analytics: An intelligent interface for utilizing trajectories for interactive sports play retrieval and analytics. ACM Transactions on Computer-Human Interaction, 25(2), 1–32. https://eprints.qut.edu.au/118099
- Warnakulasuriya, T., Denman, S., Sridharan, S. & Fookes, C. (2018). Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection. Neural Networks, 108, 466–478. https://eprints.qut.edu.au/126862
- Nguyen Thanh, K., Fookes, C., Sridharan, S., Tistarelli, M. & Nixon, M. (2018). Super-resolution for biometrics: A comprehensive survey. Pattern Recognition, 78, 23–42. https://eprints.qut.edu.au/116716
- Warnakulasuriya, T., Denman, S., Mcfadyen, A., Sridharan, S. & Fookes, C. (2018). Tree memory networks for modelling long-term temporal dependencies. Neurocomputing, 304, 64–81. https://eprints.qut.edu.au/118092
- Nguyen Thanh, K., Fookes, C., Jillela, R., Sridharan, S. & Ross, A. (2017). Long range iris recognition: A survey. Pattern Recognition, 72, 123–143. https://eprints.qut.edu.au/107574
- Wei, X., Lucey, P., Morgan, S. & Sridharan, S. (2016). Forecasting the next shot location in tennis using fine-grained spatiotemporal tracking data. IEEE Transactions on Knowledge and Data Engineering, 28(11), 2988–2997. https://eprints.qut.edu.au/113580
- Liu, J., Sridharan, S., Fookes, C. & Wark, T. (2014). Optimal camera planning under versatile user constraints in multi-camera image processing systems. IEEE Transactions on Image Processing, 23(1), 171–184. https://eprints.qut.edu.au/66418
- Lucey, S., Navarathna, R., Ashraf, A. & Sridharan, S. (2013). Fourier Lucas-Kanade algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(6), 1383–1396. https://eprints.qut.edu.au/57886
- Title
- Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP200101942
- Start year
- 2021
- Keywords
- Title
- One shot three-dimensional reconstruction of human anatomy and motion
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP170100632
- Start year
- 2017
- Keywords
- Title
- Improving Productivity and Efficiency of Australian Airports - A Real Time Analytics and Statistical Approach
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP140100282
- Start year
- 2015
- Keywords
- Bayesian Networks; Video Analytics; Operations Management
- Title
- Monitoring intuitive expertise in the context of airport security screening
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP140100221
- Start year
- 2015
- Keywords
- Intuitive Expertise; Airport Security; Automated Monitoring
- Title
- Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP140100793
- Start year
- 2014
- Keywords
- Face Processing; Face Recognition; Computer Vision
- Title
- The next generation speaker recognition system
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP130100110
- Start year
- 2013
- Keywords
- Speaker verification; speech processing; signal processing
- Title
- Omniscient Face Recognition for Uncooperative Subjects
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP110100827
- Start year
- 2011
- Keywords
- Face Recognition; Computer Vision; Biometrics; Image Processing
- Title
- Intelligent Surveillance Research for Crowd Monitoring and Event Detection
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- PR09-0089
- Start year
- 2010
- Keywords
- Video Surveillance; Video Event Detection
- Title
- Airports of the Future
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0990135
- Start year
- 2009
- Keywords
- Complex Systems Engineering; Airport Operations Management; Business Process Modelling; Surveillance and Identity Management; Human Systems Interaction; Risk and Emergency Management
- Title
- Robust Automatic Speaker Diarisation of Audio Documents by Exploiting Prior Sources of Information
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0991238
- Start year
- 2009
- Keywords
- Speaker Diarisation; Speaker Recognition; Speaker Identification; Speech Processing; Signal Processing; Pattern Recognition
- Missing Ingredients in Optimising Large-scale Image Retrieval with Deep features (2022)
- Multimodal Image Correspondence (2022)
- Regularized Ensemble Correlation Filter Tracking (2022)
- Deep Learning for Person Re-Identification (2021)
- Multimodal Dense Map-Centric SLAM (2021)
- Deep Domain Adaptation and Generalisation (2020)
- Multimodal Emotion Recognition Using Deep Learning Techniques (2020)
- Non-rigid 3D Reconstruction of the Human Body in Motion (2020)
- Question-answering on Image/Video Content (2020)
- Representation and Reconstruction of 3D Shapes in Computer Vision (2020)