|2010 - Present||Professor, University of Dayton ‐ Department of Electrical and Computer Engineering|
|Present||Director, Vision Lab, University of Dayton|
|Present||Ohio Research Scholars Chair Wide Area Surveillance, University of Dayton|
Honors and Awards
- Certificate of Recognition, Spotlight on Technology, Arts, Research and Scholarship (STARS) University of Dayton (Office for Research), March 2013.
- Certificate of Excellence in Promoting Undergraduate Research, Old Dominion University, April 2009.
- Faculty Advising Award, Department of Electrical and Computer Engineering, Old Dominion University, April 2009.
- Outstanding Researcher Award, Department of Electrical and Computer Engineering, Old Dominion University, April 2006.
- Excellence in Research Award, Frank Batten College of Engineering and Technology, Old Dominion University, April 2006.
- Excellence in Teaching Award, Frank Batten College of Engineering and Technology, Old Dominion University, April 2004.
- Outstanding Teacher Award, Department of Electrical and Computer Engineering, Old Dominion University, April 2002.
- Machine Learning
- Machine Learning for Pattern Classification
- Image Processing
- Computer Vision
- Advanced Image Processing
- Advanced Digital Signal Processing
- Advanced Topics in Machine Learning
- Advanced Topics in Image Processing
- Advanced Topics in Computer Vision
- Advanced Topics in Image Understanding
- Advanced Topics in Object Tracking
|1994||PhD, Indian Institute of Technology Madras ‐ Electrical Engineering|
|1984||M.Tech, Indian Institute of Technology Madras ‐ Electrical Engineering|
|1978||BS, university of kerala ‐ Electronics and Communications Engineering|
Location: 241 E, Kettering Laboratories
Multiclass Object Detection with Single Query in Hyperspectral Imagery Using Class-Associative Spectral Fringe-Adjusted Joint Transform Correlation IEEE Transactions on Geoscience and Remote Sensing (2016)
We present a deterministic object detection algorithm capable of detecting multiclass objects in hyperspectral imagery (HSI) without any training or preprocessing. The proposed method, which is named class-associative spectral fringe-adjusted joint transform correlation (CSFJTC), is ...
No-Reference Video Quality Assessment Based on Artifact Measurement and Statistical Analysis IEEE Transactions on Circuits and Systems for Video Technology (2015)
A discrete cosine transform (DCT)-based no-reference video quality prediction model is proposed that measures artifacts and analyzes the statistics of compressed natural videos. The model has two stages: distortion measurement nonlinear mapping In the first ...
Dense Point-Cloud Representation of a Scene using Monocular Vision Journal of Electronic Imaging (2015)
We present a three-dimensional (3-D) reconstruction system designed to support various autonomous navigation applications. The system presented focuses on the 3-D reconstruction of a scene using only a single moving camera. Utilizing video frames captured ...
Utilizing Local Phase Information to Remove Rain from Video International Journal of Computer Vision (2015)
In the context of extracting information from video, bad weather conditions like rain can have a detrimental effect. In this paper, a novel framework to detect and remove rain streaks from video is proposed. The ...
Book chapters (1)
Automated Whale Blow Detection in Infrared Video Computer Vision and Pattern Recognition in Environmental Informatics (2016)
In this chapter, solutions to the problem of whale blow detection in infrared video are presented. The solutions are considered to be assistive technology that could help whale researchers to sift through hours or days ...
Conference papers (23)
Histogram of Oriented Phase (HOP): A New Descriptor Based on Phase Congruency Proceedings of SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016 (2016)
In this paper we present a low level image descriptor called Histogram of Oriented Phase based on phase congruency concept and the Principal Component Analysis (PCA). Since the phase of the signal conveys more information ...
Histogram of Oriented Phase and Gradient (HOPG) Descriptor for Improved Pedestrian Detection 2016 IS&T International Conference on Electronic Imaging: Video Surveillance and Transportation Imaging Applications (2016)
This paper presents a new pedestrian detection descriptor named Histogram of Oriented Phase and Gradient (HOPG) based on a combination of the Histogram of Oriented Phase (HOP) features and the Histogram of Oriented Gradient features ...
Gaussian Nonlinear Line Attractor for Learning Multidimensional Data Proceedings of the 7th International Joint Conference on Computational Intelligence (2015)
The human brain’s ability to extract information from multidimensional data modeled by the Nonlinear Line Attractor (NLA), where nodes are connected by polynomial weight sets. Neuron connections in this architecture assumes complete connectivity with all ...
A Self-Organizing Lattice Boltzmann Active Contour (SOLBAC) Approach for Fast and Robust Object Region Segmentation 2015 IEEE International Conference on Image Processing (2015)
In this paper, we propose a self-organized learning based active contour model with a lattice Boltzmann convergence criteria for fast and effective segmentation preserving the precise details of the object's region of interest. A dual ...
Directional Ringlet Intensity Feature Transform for Tracking 2015 IEEE Conference on Image Processing (2015)
The challenges existing for current intensity-based histogram feature tracking methods in wide area motion imagery include object structural information distortions and background variations, such as different pavement or ground types. All of these challenges need ...
State Preserving Extreme Learning Machine for Face Recognition 2015 International Joint Conference on Neural Networks (2015)
Extreme Learning Machine (ELM) has been introduced as a new algorithm for training single hidden layer feed-forward neural networks (SLFNs) instead of the classical gradient-based algorithms. Based on the consistency property of data, which enforce ...
3D Object Classification in Uncalibrated Structure from Motion Models 2015 Optical Society of America Imaging and Applied Optics Congress: Imaging Systems and Applications (2015)
We present a 3D object classification technique that is robust to noise and inaccuracies of 3D Structure from Motion models. We illustrate our classification results on 3D models reconstructed from real-world aerial imagery.
A Modular Approach for Key-Frame Selection in Wide Area Surveillance Video Analysis 2015 National Aerospace and Electronics Conference (2015)
This paper presents an efficient preprocessing algorithm for big data analysis. Our proposed key-frame selection method utilizes the statistical differences among subsequent frames to automatically select only the frames that contain the desired contextual information ...
Automatic Building Change Detection in Wide Area Surveillance 2015 National Aerospace and Electronics Conference (2015)
We present an automated mechanism that can detect and characterize the building changes by analyzing airborne or satellite imagery. The proposed framework can be categorized into three stages: building detection, boundary extraction and change identification. ...
Brain Machine Interface Using Emotiv EPOC to Control Robai Cyton Robotic Arm 2015 National Aerospace and Electronics Conference (2015)
The initial framework for an electroencephalography (EEG) thought recognition software suite is developed, built, and tested. This suite is designed to recognize human thoughts and pair them to actions for controlling a robotic arm. Raw ...
Intrusion Detection in Aerial Imagery for Protecting Pipeline Infrastructure 2015 National Aerospace and Electronics Conference (2015)
We present an automated mechanism that can detect and issue warnings of machinery threat such as the presence of construction vehicles on pipeline right-of-way. The proposed scheme models the human visual perception concepts to extract ...
Vehicle Tracking under Occlusion Conditions using Directional Ringlet Intensity Feature Transform 2015 National Aerospace and Electronics Conference (2015)
The tracking of vehicles in wide area motion imagery (WAMI) can be a challenge due to the full and partial occlusions that can occur. The proposed solution for this challenge is to use the Directional ...
A Robust Fringe-Adjusted Joint Transform Correlator for Efficient Object Detection Proceedings of SPIE 9477, Optical Pattern Recognition XXVI (2015)
The fringe-adjusted joint transform correlation (FJTC) technique has been widely used for real-time optical pattern recognition applications. However, the classical FJTC technique suffers from target distortions due to noise, scale, rotation and illumination variations of ...
Efficient Thermal Image Segmentation through Integration of Nonlinear Enhancement with Unsupervised Active Contour Model Proceedings of SPIE 9477, Optical Pattern Recognition XXVI (2015)
Thermal images are exploited in many areas of pattern recognition applications. Infrared thermal image segmentation can be used for object detection by extracting regions of abnormal temperatures. However, the lack of texture and color information, ...
Gaussian Weighted Neighborhood Connectivity of Nonlinear Line Attractor for Learning Complex Manifolds Proceedings of SPIE 9477, Optical Pattern Recognition XXVI (2015)
The human brain has the capability to process high quantities of data quickly for detection and recognition tasks. These tasks are made simpler by the understanding of data, which intentionally removes redundancies found in higher ...
Intensity and Resolution Enhancement of Local Regions for Object Detection and Tracking in Wide Area Surveillance Proceedings of SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015 (2015)
Object tracking in wide area motion imagery is a complex problem that consists of object detection and target tracking over time. This challenge can be solved by human analysts who naturally have the ability to ...
Volume Component Analysis for Classification of LiDAR Data Proceedings of SPIE 9477, Optical Pattern Recognition XXVI (2015)
One of the most difficult challenges of working with LiDAR data is the large amount of data points that are produced. Analysing these large data sets is an extremely time consuming process. For this reason, ...
Video-to-Video Pose and Expression Invariant Face Recognition using Volumetric Directional Pattern 2015 International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2015)
Face recognition in video has attracted attention as a cryptic method of human identification in surveillance systems. In this paper, we propose an end-to-end video face recognition system, addressing a difficult problem of identifying human ...
Multiple Object Detection in Hyperspectral Imagery Using Spectral Fringe-Adjusted Joint Transform Correlator Proceedings of SPIE 9405, Image Processing: Machine Vision Applications VIII (2015)
Hyperspectral imaging (HSI) sensors provide plenty of spectral information to uniquely identify materials by their reflectance spectra, and this information has been effectively used for object detection and identification applications. Joint transform correlation (JTC) based ...
Person Identification from Streaming Surveillance Video using Mid-Level Features from Joint Action-Pose Distribution Proceedings ofSPIE 9407, Video Surveillance and Transportation Imaging Applications 2015 (2015)
We propose a real time person identification algorithm for surveillance based scenarios from low-resolution streaming video, based on mid-level features extracted from the joint distribution of various types of human actions and human poses. The ...