"By 2006, all television programs in the US will be broadcasted in the new Digital Television (DTV) standard format. Digital video signals of typical sizes (SDTV 480p/i: 704x480, progressive/interlaced, 60fps; HDTV 720p: 1280x720, progressive, 60fps; HDTV1080i: 1920x1080, interlaced, 30fps)… More

"This project will research and develop novel approaches to capture the edge information on targets in EO/IR imagery, using new decompositions. We will also develop innovative function-theoretic measures of activity. Faster, more robust target-processingof EO/IR imagery."

Transmitting voluminous video signals over channels orders of magnitude lower in data rate thus requires the latest advances in compression technology as a fundamental enabler. This is especially true for communications over wireless links that oftensupport data rates as low as 16 kbps - one needs… More

Transmitting voluminous image/video signals over channels orders of magnitude lower in data rate thus requires the latest advances in compression technology as a fundamental enabler. This is especially true for video communications over wireless links thatoften support data rates as low as 16 kbps -… More

Situation awareness at the dismounted small-unit level requires innovation and agility in sensors and signal processing. Information fusion from a field of region-based sensors is an important but challenging proposition. The placement of sensors, theiractivation and coordination, charging and… More

FastVDO LLC will research and develop advanced mathematical algorithms for electro-optical and infrared sensor-fusion based target recognition. We will further investigate the value of acoustic sensor ATR and information fusion with thevideo sensors. The objective is to develop a… More

FastVDO will continue undertaking the research and development of advanced mathematical algorithms for electro-optical and infrared target recognition for insertion in the Navy Shared Reconnaisance Pod (SHARP). The suite of algorithms being developed on this contract will exploit a variety of… More

It has long been known that (aided) target recognition based on imaging sensors is fundamentally limited by the number of pixels on the target imaged. Very roughly, at least 10 pixels are needed for detection, at least 100 are needed for generic classification, and perhaps 1000 are needed for… More

Video data compression is a powerful enabling technology for surveillance applications. It permits the transmission of high data-volume video surveillance data in real-time or near real-time, by encoding the data in an efficient compressed format, to be reconstructed at the receiver. We use the… More

It has long been known that (aided) target recognition based on imaging sensors is fundamentally limited by the number of pixels on the target imaged. Very roughly, at least 10 pixels are needed for detection, at least 100 are needed for generic classification, and perhaps 1000 are needed for… More

ATR has traditionally been the domain of expensive, one-of-a-kind, high-resolution sensors (whether EO/IR, SAR, HSI, HRR, or other) - along with distinctly high-performance, one-of-a-kind processing capability (racks of workstations/boards). Examples include JointStars, WarHorse, and SHARP. With… More

The relatively opaque and inhospitable ocean medium presents unique and formidable challenges for the task of sensing & recognizing underwater objects. Impenetrable to most forms of electromagnetic radiation, the sea yields a glimpse of its hidden structure mainly through acoustic and optical means,… More

The doctrine of battlefield Information Dominance has led to a proliferation of imaging platforms, especially in UASs, leading to a deluge of image/video gathering capability. Yet burgeoning sensor data acquisition is dramatically outpacing downlink capability, which voids the utility of sensor… More

ABSTRACT: The doctrine of battlefield Information Dominance has led to a proliferation of imaging platforms, especially in UASs, leading to a deluge of image/video gathering capability. Yet burgeoning sensor data acquisition is dramatically outpacing downlink capability, which voids the utility of… More