Location:
Search - motion predict
Search list
Description: Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
Platform: |
Size: 480384 |
Author: xjwu |
Hits:
Description: 外国人写的在固定背景下检测并跟踪目标的算法，并加入了快速的背景更新算法，利于Kalman滤波来预测目标位置-Written by foreigners in the context of a fixed target detection and tracking algorithms, and joined the fast background update algorithm, in favor of Kalman filtering to predict the target location
Platform: |
Size: 192512 |
Author: lizhen |
Hits:
Description: Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
Platform: |
Size: 480256 |
Author: xjwu |
Hits:
Description: 用卡尔曼滤波方法对圆周运动进行预测的算法实现-Kalman filtering method using circular motion algorithm to predict
Platform: |
Size: 117760 |
Author: donggangsia |
Hits:
Description: predict motion by kalman filter and simule in 2d cartezian
Platform: |
Size: 289792 |
Author: ali |
Hits:
Description: Predict a new frame from a previous frame and only code the
prediction error
• Prediction error will be coded using an image coding method (e.g.,
DCT-based as in JPEG)
• Prediction errors have smaller energy than the original pixel values
and can be coded with fewer bits
• Those regions that cannot be predicted well will be coded directly
using DCT-based method
• Use motion-compensated prediction to account for object motion
• Work on each macroblock (MB) (16x16 pixels) independently f-Predict a new frame from a previous frame and only code the
prediction error
• Prediction error will be coded using an image coding method (e.g.,
DCT-based as in JPEG)
• Prediction errors have smaller energy than the original pixel values
and can be coded with fewer bits
• Those regions that cannot be predicted well will be coded directly
using DCT-based method
• Use motion-compensated prediction to account for object motion
• Work on each macroblock (MB) (16x16 pixels) independently f
Platform: |
Size: 3072 |
Author: krishna |
Hits:
Description: 帧率倍频算法 自己亲手做的 效果还相当不错 可以准确的预测中间帧，采用运动估计与运动补偿算法。单向估计和双向估计-The results were pretty good frame rate multiplier algorithm made themselves can accurately predict the middle frame, motion estimation and motion compensation algorithm. One-way estimated and bi-directional estimation
Platform: |
Size: 505856 |
Author: guihaitian |
Hits:
Description: A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into
arousal, expectation, intensity, power and valence level of the observed
subject as there has been virtually no research bearing on this topic.
Preliminary experiments show that it is possible to automatically predict
emotions in terms of these five dimensions (arousal, expectation, intensity,
power and valence) from conversational head gestures. Dimensional
and continuous emotion prediction from spontaneous head gestures has
been integrated in the SEMAINE project [
Platform: |
Size: 13056000 |
Author: xiaomingw |
Hits:
Description: 关于无人机控制的论文，比较有价值，推荐给大家-Abstract—We introduce an intelligent cooperative control
system for ground target tracking in a cluttered urban environment
with a team of Unmanned Air Vehicles (UAVs). We
extend the work of Yu et. al. [1] to add a machine learning
component that uses observations of target position to learn a
model of target motion. Our learner is the Sequence Memoizer
[2], a Bayesian model for discrete sequence data, which we use
to predict future target location identifiers, given a context of
previous location identifiers. Simulated cooperative control of
a team of 3 UAVs in a 100-block city filled with various sizes
of buildings verifies that learning a model of target motion can
improve target tracking performance.
Platform: |
Size: 1165312 |
Author: 王日俊 |
Hits:
Description: 使用LK光流法实现图像的运动预测 用于预测两幅图像的运动方向-lk motion predict
Platform: |
Size: 1689600 |
Author: Sven |
Hits:
Description: We propose a learning-based approach for motion boundary detection. Precise localization of motion boundaries is essential for the success of optical fl ow estimation, as motion boundaries correspond to discontinuities of the optical fl ow fi eld. The proposed approach allows to predict motion boundaries, using a structured random forest trained on the ground-truth of the MPI-Sintel dataset.
Platform: |
Size: 3558400 |
Author: Syrine Neffati |
Hits: