Tracking and traffic monitoring are main application of moving Object detection in video. This paper presents SURF (Speed-Up Robust Features) algorithm and real-time detection of objects using frame difference. The main purpose of this proposed work is to solve the difficulty of modeling background and its update rate in background subtraction method. SURF is having fast processing technique to...

This paper uses an analysis of Speeded up Robust Feature (SURF), based on the method of Linear Interpolation for camera distortion calibration, for high-density crowd counting. The eigenvalues are built on the Gray Level Co-occurrence Matrix (GLCM) features and the SURF features. Through the method of linear interpolation, weight values are interpolated to reduce the error, which is caused by c...

In this paper, we introduce optimal markers to be used with the SIFT and SURF feature detectors. They can be applied to trigger the detection of feature points at desired locations. Unlike conventional marker systems, we do not propose a standalone solution comprising a set of markers and a thereto adapted detection algorithm. Instead, our markers are adapted to existing and established detecto...

<p class="Abstract"><span lang="EN-US">The functional characterization of MEMS devices is relevant today since it aims at verifying the behavior these devices, as well improving their design. In this regard, study focused on a microgripper prototype suitable in biomedical applications: measurement angular displacement comb-drive carried out by means two novel automatic procedures, b...

Quantifying subsurface velocity in the surf-zone beneath shoaling/breaking/broken waves is critical to accurately predict nearshore processes such as sediment transport [Hsu and Hanes, 2004]. The in-situ instruments designed measure this where break, velocimeters, routinely get buried, broken, or lost surf-zone. This limits our ability collect field datasets of energetic wave conditions. To add...