Titlebook: Image Analysis; 16th Scandinavian Co Arnt-B?rre Salberg,Jon Yngve Hardeberg,Robert Jens Conference proceedings 2009 Springer-Verlag GmbH Ge

negligence

枯燥

Instant Action Recognitionion information of an action is analyzed using a large number of frames. This is a limitation if very fast actions (e.g., in sport analysis) have to be analyzed. To overcome this limitation, we propose a method that uses a single-frame representation for actions based on appearance and motion inform

小臼

易于交談

Analyzing Gait Using a Time-of-Flight Cameracamera supplies cartesian coordinates in space for every pixel. By using an articulated model the subject pose is estimated in the depth map in each frame. The pose estimation is based on likelihood, contrast in the amplitude image, smoothness and a shape prior used to solve a Markov random field. B

到婚嫁年齡

Primitive Based Action Representation and Recognition on these action primitives. Unlike previous works where action primitives are defined a-priori and search is made for them later, we present a sequential and statistical learning algorithm for automatic detection of the action primitives and the action grammar based on these primitives. We model a

ARIA

Recognition of Protruding Objects in Highly Structured Surroundings by Structural Inferencen their surroundings. This makes the problem highly context dependent. Due to the lack of knowledge about the target class, we also encounter a difficulty delimiting the non-target class. Hence, objects can neither be recognized by their similarity to prototypes of the target class, nor by their sim

鞭打

調(diào)味品

Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features Fourier transforms of local binary pattern (LBP) histograms. Unlike most other histogram based invariant texture descriptors which normalize rotation locally, the proposed invariants are constructed globally for the whole region to be described. In addition to being rotation invariant, the LBP-HF f

fixed-joint

Weighted DFT Based Blur Invariants for Pattern Recognitionwn blur invariants are based either on image moments or Fourier phase. In this paper, we introduce a method that improves the results obtained by existing state of the art blur invariant Fourier domain features. In this method, the invariants are weighted according to their reliability, which is pro

吞沒

The Effect of Motion Blur and Signal Noise on Image Quality in Low Light Imagingimage quality is always a tradeoff between motion blur and noise. Long exposure time is required in low illumination level in order to obtain adequate signal to noise ratio. On the other hand, risk of motion blur due to tremble of hands or subject motion increases as exposure time becomes longer. Lo