Computer vision publications
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Weapon Identification Across Varying Acoustic Conditions Using an Exemplar Embedding Approach
In this paper we present a first study of using an exemplar embedding approach to automatically detect and classify firearm type across different recording conditions.
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Wide Area Active Collaborative Tracking of Waterborne Vessels
We describe a real-time wide area surveillance system (WA-ACTV) for the automatic tracking of vessels using a network of PTZ cameras.
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Lidar-Based Door and Stair Detection from a Mobile Robot
We present an on-the-move LIDAR-based object detection system for autonomous and semi-autonomous unmanned vehicle systems.
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Implementing Real-Time Imaging Systems Using the Sarnoff Acadia II Vision Processor
This paper will describe how to best use the power of the Acadia® II as both an all-in-one image processor and as a general purpose computer for performing other critical…
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Remediation of Facial Emotion Recognition in Schizophrenia: Functional Predictors, Generalisability, and Concomitant Visual Scanning of Novel Face Stimuli
This study investigated whether improved recognition generalizes to novel faces, training effects are durable over 1 month, and baseline functioning levels predict the extent of improvement.
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Special Issue on Embedded Vision
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Automatic Blood Vessel Localization in Small Field of View Eye Images
We present an automatic technique for localizing vessels in small field of view images using multi-scale matched filters. We also estimate local vessel properties - width and orientation - along…
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Video Synchronization and Its Application to Object Transfer
We trade some generality in estimating and aligning camera motion for reduced computational complexity and increased image-based nature.
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Quantitative Comparison of Metrics for Change Detection in Video Patrolling Applications
This paper provides a comprehensive quantitative comparison of metrics for detecting visual anomalies between two videos that are recorded along same path but at different times by a camera on…
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Multicamera Tracking of Articulated Human Motion Using Shape and Motion Cues
We present a completely automatic algorithm for initializing and tracking the articulated motion of humans using image sequences obtained from multiple cameras.
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Multiple-Target Tracking Via Kinematics, Shape, and Appearance-Based Data Association
This paper presents a real time system for tracking multiple ground moving targets in aerial video.
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Target Tracking with Incomplete Detection
In this paper, we address the multiple target tracking problem as a maximum a posteriori problem.