Information & computer science publications
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Precise Visual Navigation Using Multi-Stereo Vision and Landmark Matching
In this paper, we propose a set of techniques which greatly reduce the long term drift and also improve its robustness to many failure conditions.
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On-The-Move Independently Moving Target Detection
This paper describes a system for automatically detecting potential targets (that pop-up or move into view) and to cue the operator to potential threats. We present a 3D approach for…
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Preceding Vehicle Trajectory Prediction by Multi-Cue Integration
In this paper we describe an approach to detect and predict the driving trajectory of a preceding vehicle on highway. In particular, we focus on detecting and predicting the changing…
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Reduced Resolution Residual Coding for H.264-Based Compression System
This paper describes a macroblock-based mixed resolution video encoding system. By reducing the spatial resolution of some macroblock residuals intelligently, our preliminary experiments show up to 20% improvement in video…
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The Use of Word N-grams and Parts of Speech for Hierarchical Cluster Language Modeling
We present extensions to the work of backoff hierarchical class n-gram language modeling of Zitouni et al. (2003) by studying the efficacy of exploring the use of parts of speech…
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Multitask Learning for Spoken Language Understanding
In this paper, we present a multitask learning (MTL) method for intent classification in goal oriented human-machine spoken dialog systems. MTL aims at training tasks in parallel while using a…
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Segmentation of Aerial Surveillance Video Using a Mixture of Experts
We propose a video segmentation algorithm for aerial surveillance video. The algorithm uses a Mixture of Experts consisting of a supervised image segmentation algorithm named the Trainable Sequential MAP segmentation…
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Pushing the Envelope — Aside
Despite successes, there are still significant limitations to speech recognition performance. For this reason, authors have proposed methods that incorporate different (and larger) analysis windows, which are described in this…
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Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching Between Non-Overlapping Cameras
This paper proposes a method for matching road vehicles between two non-overlapping cameras. The matching problem is formulated as a same-different classification problem: probability of two observations from two distinct…
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Vehicle Fingerprinting for Reacquisition and Tracking in Videos
We address the problem of vehicle matching when multiple observations of a vehicle are separated in time such that frames of observations are not contiguous, thus prohibiting the use of…
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Stereo-Based Object Detection, Classification, and Quantitative Evaluation with Automotive Applications
A real-time stereo-based pre-crash object detection and classification system is presented. The system employs a model based stereo object detection algorithm to find candidate objects from the scene, followed by…
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Towards a Practical Stereo Vision Sensor
This paper describes an experimental framework for determining these limits using image processing algorithms, operating on graphically synthesized imagery, with performance envelope validation on real stereo image data.