Computer vision publications
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Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions
In this paper, we propose a novel approach to extract primary object segments in videos in the ‘object proposal’ domain. The extracted primary object regions are then used to build…
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A Hierarchical Behavior Analysis Approach for Automated Trainee Performance Evaluation in Training Ranges
In this paper we present a closed loop mixed reality training system that provides automatic assessment of trainee performance during kinetic military exercises.
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Shock Metamorphism in L Chondrites above Shock Stage S6
The study presents the effects of high post-shock temperature and the annealing of high-pressure evidence in highly shocked chondrites.
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Affect Analysis in Natural Human Interaction Using Joint Hidden Conditional Random Fields
We present a novel approach for multi-modal affect analysis in human interactions that is capable of integrating data from multiple modalities while also taking into account temporal dynamics.
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Robust Vision-Aided Navigation Using Sliding-Window Factor Graphs
This paper proposes a navigation algorithm that provides a low-latency solution while estimating the full nonlinear navigation state.
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The F Region and Topside Ionosphere Response to a Strong Geomagnetic Storm at Arecibo
We analyze the data derived from the Arecibo incoherent scatter radar measurements to investigate the response of the F region and topside ionosphere to a strong geomagnetic storm that occurred during the…
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3D Optic Disc Reconstruction Via a Global Fundus Stereo Algorithm
This paper presents a novel method to recover 3D structure of the optic disc in the retina from two uncalibrated fundus images.
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Affect Analysis in Natural Human Interaction Using Joint Hidden Conditional Random Fields
We present a novel approach for multi-modal affect analysis in human interactions that is capable of integrating data from multiple modalities while also taking into account temporal dynamics.
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An Embedded Vision Services Framework for Heterogeneous Accelerators
This paper describes an architecture framework using heterogeneous hardware accelerators for embedded vision applications.
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Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions
In this paper, we propose a novel approach to extract primary object segments in videos in the ‘object proposal’ domain. The extracted primary object regions are then used to build…
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Low-Light NV-CMOS Image Sensors for Day/Night Imaging
SRI’s new NV-CMOS™ image sensor technology is designed to capture images over the full range of illumination from bright sunlight to overcast starlight.
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Recognizing Activities Via Bag of Words for Attribute Dynamics
In this work, we propose a novel video representation for activity recognition that models video dynamics with attributes of activities. A video sequence is decomposed into short-term segments, which are…