[PDF] Top 20 Moving Target Tracking Using Time Reversal Method

... uniformly- moving dipole source, electromagnetic field focusing only obtained when R(−t) = 0, ...the time-reversed ...the time-domain progress of the backward propagations as in ...uniformly ... See full document

... To evaluate our approach, we implemented Algorithm 1 in MATLAB and performed extensive simulations on our implementation. All trajectories are taken inside the [0, 1]× [0, 1] square and thus the error measurements are ... See full document

... object tracking is an indispensable first step. Object tracking has significance in real time environment because it enables several important applications such as Security and surveillance [1] to ... See full document

... b  sign   I abs b     b  b   (11) Where sign    is a sine function, depending on the sine of  b t  1, i  b t i , 1  b t i , 2  , and I [] denotes rounding towards zero. When we get the predicted motion ... See full document

... the tracking, it is essential to sample some basic posture of ...a target of interest, the tracker module starts to follow it from frame to ...some target has large change, it may result in the metal ... See full document

... There are a number of algorithms for automatic extraction and tracking objects. However, issues such as objects overlapping, changes in the objects’ pose, and cluttered backgrounds are the most challenging ... See full document

... of moving objects in local-based collision avoidance sys- tems may be found in ...each time step and hence the POMDP is solved at each time step, the need for a fast and efficient solution ... See full document

... On the other hand deep learning methods perform impressively well, the deep learning implementation of FlowNet2.0 [14] outperforms our implementations of vari- ational methods by a large margin. It is especially ... See full document

... for target tracking has been addressed by many researchers from different ...the time, space, and frequency domains is first ...of tracking accuracy improvement. With this strategy, ... See full document

... and tracking moving vehicles in nighttime traffic ...proposed method identifies vehicles by detecting and locating vehicle headlights and taillights by using image segmentation and pattern ... See full document

... of target tracking algorithms, for example the Dynamic Clustering for Acoustic Tracking (DCAT) and Hierarchical prediction strategy ...formed using the Voronoi division and Least Square ... See full document

... Target tracking has been an intensive research area since the early 1960s, driven primarily by aerospace applications such as radar, sonar, guidance, navigation, and air traffic ...networks. Target ... See full document

... Space-time adaptive processing (STAP) is an effective technique to suppress strong ground clutter and detect slow-moving targets in airborne radar systems [1], [2]. Originally, the theory of STAP is ... See full document

... and tracking a moving target, the portable tracing instrument with low voltage was based on the GPS technology in reference ...The tracking of the carriers was positioned accurately in ... See full document

... non-linear method for removing ...this method is not dependent on the neighbourhood with a lot of difference between typical values, which can remove impulse noise, salt and pepper noise at the same ... See full document

... response time in multiple target tracking DAIRKF algorithm ....This method is based on to find out global optimality of mean square error (MSE) for multi target ...Multi Target ... See full document

... a method by which we can specify, create and visualize ...color using the amounts of red, green and blue phosphor emission required to match a ...specified using three co-ordinates, or ... See full document

... For several decades, animals in motion have long been the subject o f study for zoologists and have drawn much attention to computer vision researchers for automatic tracking and animations. Recently, automatic ... See full document

... doing moving object detection to video sequences, the main task is to detect the feature points of each image in the video ...regular time, and we can realize feature point ... See full document

... of moving objects over time to detect moving regions in an ...a moving camera, however, most of the optical flow methods are computationally complex and cannot be used real-time without ... See full document