Fast motion vector estimation by using spatiotemporal correlation of motion field

1995 ◽  
Author(s):  
Sungook Kim ◽  
Junavit Chalidabhongse ◽  
C.-C. Jay Kuo
Keyword(s):  
Motion Vector ◽  
Motion Field ◽  
Spatiotemporal Correlation ◽  
Fast Motion ◽  
Vector Estimation

scholarly journals Motion Vector Estimation of a Stereovision Camera with Inertial Sensors

2012 ◽  
Vol 19 (1) ◽  
pp. 141-150 ◽  
Author(s):  
Paweł Pełczyński ◽  
Bartosz Ostrowski ◽  
Dariusz Rzeszotarski
Keyword(s):  
Inertial Sensors ◽  
Inertial Sensor ◽  
Motion Vector ◽  
Linear Acceleration ◽  
Sensor Data ◽  
Image Motion ◽  
Motion Field ◽  
Camera Motion ◽  
Search Range ◽  
Vector Estimation

Motion Vector Estimation of a Stereovision Camera with Inertial SensorsThe aim of the presented work was the development of a tracking algorithm for a stereoscopic camera setup equipped with an additional inertial sensor. The input of the algorithm consists of the image sequence, angular velocity and linear acceleration vectors measured by the inertial sensor. The main assumption of the project was fusion of data streams from both sources to obtain more accurate ego-motion estimation. An electronic module for recording the inertial sensor data was built. Inertial measurements allowed a coarse estimation of the image motion field that has reduced its search range by standard image-based methods. Continuous tracking of the camera motion has been achieved (including moments of image information loss). Results of the presented study are being implemented in a currently developed obstacle avoidance system for visually impaired pedestrians.

An Improved Error Concealment Based on Redundant Motion Vector Information

2012 ◽  
Vol 532-533 ◽  
pp. 1219-1224
Author(s):  
Hong Tao Deng
Keyword(s):  
Video Transmission ◽  
Error Concealment ◽  
Video Quality ◽  
Motion Vector ◽  
Compressed Video ◽  
Vector Information ◽  
Vector Estimation ◽  
Channel Errors ◽  
Bit Stream

During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improved error concealment method based on DMVE, which exploits the accurate motion vector by using redundant motion vector information. The experimental results with an H.264 codec show that our method improves both subjective and objective decoder reconstructed video quality, especially for sequences of drastic motion.

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