A novel adaptive video object tracking algorithm is proposed using intensity based and feature based techniques which results in improved reliability and at the same time it aims to reduce computational complexity. This is achieved by intelligently combining SIFT and BMA and making it adaptive to the speed of the moving object. Tracking frame by frame using SIFT which is successful for detectin...

In this article we discuss a network sampling design that can be applied in drug abuse research at the community level. At this level often some partial sampling frame such as the register of a drug aid agency is available. This partial sampling frame can be used as the start of a network sample. Each selected registered drug abuser mentions his relationships with other drug abusers, and from t...

In this paper, an onset detection method based on Simple Partial Least Squares (SIMPLS) is proposed and a system of fusing SIMPLS and SuperFlux is introduced. SIMPLS is an efficient approach to partial least squares regression which has been applied to classification tasks. To detect onsets in an audio file, the file is sampled discretely into frames and the signals are transferred into frequen...

We describe progress in matching shots which are images of the same 3D scene in a film. The problem is hard because the camera viewpoint may change substantially between shots, with consequent changes in the imaged appearance of the scene due to foreshortening, scale changes and partial occlusion. We demonstrate that wide baseline matching techniques can be successfully employed for this task b...

In this paper we propose a running demonstration of coupling between an intermediate processing step (named CASA), based on the harmonicity cue, and partial recognition, implemented with a HMM/ANN multistream technique 2]. The model is able to recognise words corrupted with narrow band noise, either stationary or having variable center frequency. The principle is to identify frame by frame the ...

We reviewed 28 patients treated with partial fibulectomy combined with an Ilizarov compression frame for a non-infected tibial delayed union or non-union. Patient data, time to referral, type of fracture (open or closed), type of non-union (atrophic or hypertrophic) and period of treatment were recorded. Neither time to referral, type of fracture or type of non-union did adversely affect the du...

Two-Frame-Theory is a recently proposed method for 3D shape recovery. It estimates shape by solving a first order quasi-linear partial differential equation through the method of characteristics. One major drawback of this method is that it assumes an orthographic camera which limits its application. This paper re-examines the basic idea of the Two-Frame-Theory under the assumption of a perspec...

Image processing typically requires either a very low frame rate or a considerable amount of dedicated hardware to achieve satisfactory results. Further, custom algorithms often require development of the entire video capture and processing system. Reconfigurable logic can be used to realize a dynamically alterable image capture and processing system. Algorithm changes at the frame rate are mad...

Automatic Score Transcription goal is to achieve an score-like (notes pitches through time) representation from musical signals. Reliable pitch extraction methods for monophonic signals exist, but polyphonic signals are much more difficult, often ambiguous, to analyze. We propose a computationally efficient technique for automatic recognition of notes from a polyphonic signal. It looks for corr...

The separation of the information in a vector into order (a permutation) and value (a multiset) is studied. We formulate rate-distortion problems in which order is irrelevant, for which we give conclusive results in cases where the set size approaches infinity. Conversely, we present a distortion measure on partial orders and source coding techniques based on partial orders. Multiple partial or...