Digital video compression technologies have become an essential part of motion estimation technique. The motion estimation of H.264/AVC is a time consuming process. Many algorithms were proposed for the video stream motion estimation, but they have a high computational complexity which significantly increases the encoder complexity. This paper proposes the Modified Unsymmetrical-Cross Multi Hex...

Compressive sensing (CS) theory has opened up new paths for the development of signal processing applications. Based on this theory, a novel single pixel camera architecture has been introduced to overcome the current limitations and challenges of traditional focal plane arrays. However, video quality based on this method is limited by existing acquisition and recovery methods, and the method a...

As many fast integer-pixel motion estimation algorithms have become available, an integer-pixel motion vector can be found by examining less than 10 search points. Meanwhile, 8 half-pixel positions around the integer-pixel motion vector are to be examined for half-pixel motion estimation. Hence, it becomes more meaningful to reduce the computational complexity of half-pixel motion estimation. I...

We present a new fast motion estimation method useful for high speed video encoding. Most of the motion estimation methods for video coding can be classified as Block Matching (BM) methods or Pel Recursive (PR) methods . Majority of the current fast motion estimation methods belong to block matching category. These methods try to reduce the number of search locations. Our proposed method is bas...

This paper proposes a novel motion field estimation method based on a 3D light detection and ranging (LiDAR) sensor for motion sensing for intelligent driverless vehicles and active collision avoidance systems. Unlike multiple target tracking methods, which estimate the motion state of detected targets, such as cars and pedestrians, motion field estimation regards the whole scene as a motion fi...