Object Tracking Technology Research Articles

Real Object Recognition and Augmentation for n-Screen Convergence Service

It is very challenging issue to converge n-screen media (Web, IPTV, SmartPhone) which are encouraged by AR, motion detection, hand shape recognition and non-marker object tracking technologies. Our services converge virtual/real world, individual/social relationship and in-door/out-door space pragmatically and intimately. We propose token-sharing mechanism among media for guarantying synchronization and continuity of playing contents. Web side service is main region for educational works. User develops his/her and friend’s territories as solving educational quests. Our mobile out-door service traces the objects by not a marker but a non-marker image tracking for according the feeling of realistic response during collaboration activities to users. The in-door IPTV service interacts with user’s intuition simultaneously thru motions and hands recognition technologies. These approaches will be one of initiative applications to make virtual and real space seamless, and will open the new field of learning system as last.

Human gesture recognition system for TV viewing using time-of-flight camera

We developed a new device-free user interface for TV viewing that uses a human gesture recognition technique. Although many motion recognition technologies have been reported, no man---machine interface that recognizes a large enough variety of gestures has been developed. The difficulty was the lack of spatial information that could be acquired from normal video sequences. We overcame the difficulty by using a time-of-flight camera and novel action recognition techniques. The main functions of this system are gesture recognition and posture measurement. The former is performed using the bag-of-features approach, which uses key-point trajectories as features. The use of 4-D spatiotemporal trajectory features is the main technical contribution of the proposed system. The latter is obtained through face detection and object tracking technology. The interface is useful because it does not require any contact-type devices. Several experiments proved the effectiveness of our proposed method and the usefulness of the system.

파티클 필터를 이용한 다중 객체의 움직임 환경에서 특정 객체의 움직임 추적

Video-based detection and tracking of moving objects has been widely used in real-time monitoring systems and a videoconferencing. Also, because object motion tracking can be expanded to Human-computer interface and Human-robot interface, Moving object tracking technology is one of the important key technologies. If we can track a specified object in an environment of multiple moving objects, then there will be a variety of applications. In this paper, we introduce a specified object motion tracking using particle filter. The results of experiments show that particle filter can achieve good performance in single object motion tracking and a specified object motion tracking in an environment of multiple moving objects.

キーフレーム間の双方向物体追跡結果に基づく仮想カメラワーク映像の生成法

Personal video sharing services such as YouTube have become popular because videos can easily be recorded in high-definition (HD) using a personal camcorder. However, it is difficult to broadcast an HD video via the Internet due to the large amount of data involved. We describe a method for generating videos with virtual camerawork based on object tracking technology. Once the user specifies the positions of the region of interest (ROI) on keyframes, our method can be used to generate virtual camerawork between two keyframes in a row based on the results of bi-directional tracking. We evaluated our method with subjective experiments that demonstrate its effectiveness.

Interactive Road Situation Analysis for Driver Assistance and Safety Warning Systems: Framework and Algorithms

Road situation analysis in Interactive Intelligent Driver-Assistance and Safety Warning (I2DASW) systems involves estimation and prediction of the position and size of various on-road obstacles. Real-time processing, given incomplete and uncertain information, is a challenge for current object detection and tracking technologies. This paper proposed a development framework and novel algorithms for road situation analysis based on driving action behavior, where the safety situation is analyzed by simulating real driving action behaviors. First, we review recent development and trends in road situation analysis to provide perspective for the related research. Second, we introduce a road situation analysis framework, where onboard sensors provide information about drivers, traffic environment, and vehicles. Finally, on the basis of the previous frameworks, we proposed multiple-obstacle detection and tracking algorithms using multiple sensors including radar, lidar, and a camera, where a decentralized track-to-track fusion approach is introduced to fuse these sensors. In order to reduce the effect of obstacle shape and appearance, we cluster lidar data and then classify obstacles into two categories: static and moving objects. Future collisions are assessed by computation of local tracks of moving obstacles using extended Kalman filter, maximum likelihood estimation to fuse distributed local tracks into global tracks, and finally, computation of future collision distribution from the global tracks. Our experimental results show that our approach is efficient for road situation evaluation and prediction

オブジェクト抽出技術のゴルフ中継番組への応用手法

Computer-generated pictures would be powerful aids for TV viewers to enjoy golf programs. Especially, CG pictures about ball locations are desirable. Using object extraction and tracking technologies, we have developed several new visual effects for sportscasts. The paper describes a technique of extracting and tracking fast moving objects. It also describes a technique for combining processors for motion tracking and real time CG rendering. We report the use of CG effects for golf scenes generated by our proposed system.

Video Presentation Recording and On-Line Broadcasting

Distance learning programs use on-line video records to deliver pre-recorded lectures. And, video communication systems can be used as a discussion tool. In this paper, we start our discussion on a multimedia presentation recording system which we had developed. We then present how the video recording concept can be further extended to realize an augmented video conferencing system, which can be used as a peer-to-peer discussion tool, as well as a lecture broadcasting system. We also point out that an object tracking technology can be further integrated to enhance the tool, to enable a more realistic and useful system for the discussion in distance education.