Jin-Tae Kim

Adaptive motion estimation based on spatio-temporal correlation☆

In this paper, we present a new motion estimation algorithm which determines an initial motion vector and a search window adaptively in video codecs which code and transmit data in a block scan order. The proposed method is based on the motion information of spatio-temporal neighboring blocks. In predicting the motion, a temporal projection technique is introduced in the determination of an initial vector, and then the search window size to refine the initial vector is determined by the correlation between neighboring blocks. With a small amount of computation during motion estimation, the proposed algorithm can estimate the motion of fast moving object. Experimental results of the proposed method show significantly improved performance in image quality and the computational complexity.

A new video interpolation technique based on motion-adaptive subsampling

This paper presents a new technique to improve the performance of video interpolation by controlling the subsampling rate of a video sequence. Simulation results show that the picture quality is enhanced and the quality fluctuation is reduced.

Two-color infrared counter-countermeasure based on the signal ratio between two detection bands for a crossed-array tracker

We propose a two-color infrared counter-countermeasure (IRCCM) in a crossed-array tracker for efficient target tracking under infrared countermeasure (IRCM) conditions. The proposed two-color IRCCM uses two detection bands in the mid and near IR regions for target and IRCM detections, respectively. The ratio of the incident signals passing the two detection bands is calculated, and a threshold ratio is determined to distinguish the target signal from the target-IRCM mixed signal, i.e., to generate a target pulse signal without IRCM effects. Our IRCCM also adopts target position prediction to make provision against wrong target detection. To evaluate the performance of the proposed IRCCM, we construct a simulator and perform target tracking under various conditions. The simulation results show that the proposed IRCCM allows efficient target tracking by minimizing the IRCM effects.

Automatic Control Signal Generation of a CCD Camera for Object Tracking

CCD cameras monitoring a moving object generally operate under fixed view point or a defined pattern. So a free moving object goes out of the CCD camera’s sight in a short time and automatic control is required to observe it continuously. This paper proposes a signal generation algorithm for the automatic control of the CCD camera. The proposed algorithm computes horizontal and vertical displacements between the detected object position and the image center and coverts them into angles. Finally pan/tilt data are generated from the angles. To estimate the proposed algorithm, we compare the generated data in the automatic control with the measured data in manual control and carry out the object tracking using a simple object. The experiment results show that the difference between the generated and measured data is a negligible quantity and the object, which is moving in ±52 o /±40 o of pan/tilt, is kept in about ±13 o /±10 o .