Coarse, inexpensive, infrared tracking for wearable computing

Abstract

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Heads Up and Camera Down: A Vision-Based Tracking Modality for Mobile Mixed Reality

“…Applications without a clear view of the sky, however, such as dense urban environments or indoors, must consider alternative solutions. In these cases, a cheap and easily deployable beaconbased system, for example, on RF, ultrasound, or infrared basis [11], [12], [38], [39], may be more appropriate. Such systems provide position information in the sense that they identify which discrete region the user currently occupies.…”

Bridging the Gaps: Hybrid Tracking for Adaptive Mobile Augmented Reality

“…The first employs a pedometer and supplements its capabilities with knowledge of the environment. The second is our experimental infrared tracker (Hallaway et al 2003), which strategically poses an inexpensive array of unsynchronized, infrared beacons-whose zones of influence intersect to partition the covered area into a set of uniquely defined fragments-and infers position from that set of beacons currently received by a user-worn array of low-cost, off-the-shelf, infrared dongles.…”

“…In contrast to the dead-reckoning approach described in the previous section, our infrared-based tracking method (Hallaway et al 2003) uses a collection of strategically placed infrared beacons. These beacons, manufactured by Eyeled GmbH, broadcast a configurable, numerical ID, twice per second, at a 2400-baud data rate.…”

Estimating Camera Position and Posture by Using Feature Landmark Database

“…In these fields, to obtain absolute position and posture of the camera, sensor-based methods using GPS and magnetic sensors [1][2][3][4][5] and vision-based methods using input images from the camera [6][7][8][9][10][11][12][13] have been investigated. However, sensor-based methods are difficult to synchronize the camera and sensors accurately, and usable environments are limited according to selection of sensors.…”