Author: Rakesh Kumar
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Visual Odometry System Using Multiple Stereo Cameras and Inertial Measurement Unit
In this paper, we present a robust method that addresses these challenges using a human wearable system with two pairs of backward and forward looking stereo cameras together with an inertial measurement unit (IMU).
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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 detecting and tracking such independently moving targets with multiple monocular cameras.
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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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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 cameras being from the same vehicle or from different vehicles.
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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 standard frame-to-frame data association.