Vishal Markandey

Motion adaptive deinterlacer for DMD (digital micromirror device) based digital television

The paper describes a deinterlacer developed for use in display systems based on the DMD (digital micromirror device), a new digital display technology. The deinterlace algorithm performs motion adaptive interpolation, using median filtered interframe differences to generate the motion signal. The interpolation process is edge adaptive, using five different edge orientations computed from the original interlace picture. Progressive scan-rate individual bit plane level digital data is then used to drive the DMD display using a pulse width modulation (PWM) technique. Real-time implementation is realized using the scan-line video processor (SVP). >

Multispectral constraints for optical flow computation

Multispectral constraints are exploited for optical flow computation. The theoretical basis and conditions for using multispectral images are described. An optical flow algorithm using multispectral constraints is outlined. Tests of the algorithm on real image sequences show that various multispectral constraints from the visible and infrared spectrum can be used to compute optical flow fields in the presence of noise.<<ETX>>

Robot sensing techniques based on high-dimensional moment invariants and tensors

A generalization of the concepts of moments and moment invariants to n-dimensions is presented. These concepts are used to develop techniques for object identification and attitude determination. Experimental results for these techniques are presented, and theoretical error analyses are developed. >

Motion estimation for moving target detection

This paper describes a suite of techniques for the autonomous detection of moving targets by processing electro-optical sensor imagery (such as visible or infrared imagery). Specific application scenarios that require moving target detection capability are described, and solutions are developed under the constraints imposed by the scenarios. Performance evaluation results are presented using a test data set of over 300 images, consisting of real imagery (visible and infrared) representative of the application scenarios.

Total least squares fitting spatiotemporal derivatives to smooth optical flow fields

This paper investigates the application of total least squares (TLS) technique in conditioning optical flow field estimates obtained from gradient based optical flow constraints. Optical flow field processing has been applied to perform moving target indication (MTI) for IR/TV sensors but results can be severely degraded in noisy imagery. The usual solution is to apply some form of nonstatistical pre-processing to the input image intensities or statistical post- processing spatial smoothing, such as least squares (LS) fitting, to the output optical flow field vectors to suppress noise. However, LS solution is known for generating biased optical flow field vector estimate in noisy imagery due to spatial gradient matrix noise. Our empirical results show improved performance of TLS over LS at lower SNRs. Results are presented in terms of optical flow field accuracy measures and target detection rates, for synthetic imagery and real infrared imagery.

Strategies for mapping algorithms to mediaprocessors for high performance

For multimedia applications, mediaprocessors can achieve performance comparable to that of ASICs while remaining programmable and multifunctional. But a detailed understanding of the underlying architecture and algorithms is essential for developing efficient code. The authors present general strategies for mapping algorithms to mediaprocessors and discuss trends in mediaprocessing.

Digital Display Systems Based on the Digital Micromirror Device

This paper describes the development of digital display systems based on the Digital Micromirror Device (DMD), a new spatial light modulator developed at Texas Instruments. A description of the DMD and its operation is provided, followed by a discussion of display system development.

Optical flow techniques for moving target detection

Abstract We present an evaluation of several pixel level optical flow techniques, for flow computation accuracy.Flow accuracy is characterized with respect to spatio-temporal image characteristics relevant to moving target detection. Results of flow computation and target detection are presented for infrared (8 - 12 jtm) imagery. 1. Introduction An image sequence exhibits temporal variations due to motion of the sensor, presence of moving objectsin the field of view, or both. This paper considers techniques for detecting moving objects from imagesequences by processing temporal image variations. A measure of the temporal variation between twoimages is the optical flow field associated with these images. In the case of a stationary sensor, opticalflow can signal presence of a moving object. For a mobile sensor, moving objects can lead to flow fielddiscontinuities. Several techniques have been proposed in literature for the detection of moving objectsusing optical flow. A region growing scheme that combined flow and image contrast information was

C64x VelociTI.2 extensions support media-rich broadband infrastructure and image analysis systems

This paper describes the new C64x DSP core including instruction set extensions that enhance performance for image and video processing. Key features include packed data processing and special instructions to accelerate algorithms such as motion estimation. Devices based on the C64x will be ideally suited for key target applications including video infrastructure and image analysis.

Integration of today's digital state with tomorrow's visual environment

New developments in visual communication technologies, and the increasingly digital nature of the industry infrastructure as a whole, are converging to enable new visual environments with an enhanced visual component in interaction, entertainment, and education. New applications and markets can be created, but this depends on the ability of the visual communications industry to provide market solutions that are cost effective and user friendly. Industry-wide cooperation in the development of integrated, open architecture applications enables the realization of such market solutions. This paper describes the work being done by Texas Instruments, in the development of its Digital Light ProcessingTM technology, to support the development of new visual communications technologies and applications.