[PDF] Top 20 Image Processing for Detection of Vehicles In Motion

... framework Detection and Annotation for Vehi- cles (DAVE) for streaming video data with complex ...vehicle detection, this framework annotates the type, colour and viewpoint of the ...composed ... See full document

... paper of (Ranganadham, Gorpuni, and Panda 2009) proposed a methodology based on a PSO algorithm to calculate the bi-directional motion in a video ...sequence. In a video sequence there is a ... See full document

... tested in a private database con- sisting of 510 fundus images, with the succeeding classifications: normal (266); mild (72); moderate (86) and severe ...used in the classification ... See full document

... interpretation of our data might be that the intact PLWs produced greater reflexive attentional capture because they shared features with the target stimuli; both the intact PLWs and tool point-light displays ... See full document

... pixel in the image to a curve in the parameter space, RHT maps an n-tuple of pixels in the image to a single point in the parameter ...space. In case of ... See full document

... two vehicles, A and B , that coordinate their motions to execute a “mapping” ...consists of having vehicle A following a prescribed path in the geographic ( x , y ) plane and taking measure- ments ... See full document

... video processing. Motion estimation explores the temporal redundancy, which is inherent in video sequences, and it represents a basis for lossy video ...compression. Motion estimation is often ... See full document

... curve in Fig 9, it can be known that when direction is invariant, the results of the direction measurement are more precise than the scale measure- ment; this is because it is hard to confirm the threshold ... See full document

... used in the present study attention does not modulate the MAE neither in the non-crowded nor in the crowded ...conditions. In particu- lar, our results suggest a dissociation between attention ... See full document

... hand, Image Analysis (Computational Vision) is used for the extraction of high level information from static images or dynamic image ...Examples of applications involving image analysis ... See full document

... The detection of critical camera configurations is a prerequisite for a full automation of the orientation of unordered image ...described in the previous section in our ... See full document

... results. In this extraction background Subtraction is a process to detect a movement or significant differences inside of the video frame, when compared to a reference and to remove all the non- significant ... See full document

... The image quality plays an important role for Unmanned Aerial Vehicle (UAV)’s ...the image blur due to the crosswind and the ...acquisition of UAV ...blur image. The major steps include ... See full document

... Erasure/scribble detection can be classified into on-line and off-line approaches. In the on-line approach, devices such as LCD digitizing tablets and stylus capture the pen movements, and the dynamic ... See full document

... and, in some cases, requires a smaller number of parameters, which gives some practical advantages for online friction ...application of a new and more robust identification technique to the peak ... See full document

... position. In Table 5.1, it is presented an analysis of the data measured during the ...visible in Fig 5.6, the average position of the ball is near the real position, being this result ... See full document

... analysis of the results showed that the body characteristics extraction presents good repeatability indices, in the order of ...number of cracks and the area of the biggest defect are ... See full document

... Application of the algorithm for the recognition of vehicles in OpenCV ...to image processing is the detection of different corn grain ...one of the most ... See full document

... ships detection using SAR ...results in ships detection, oil-spills or any kind of sea activity is fundamental to preserve and promote navigation safety as well as a constant and accurate ... See full document

... Image compression preprocessing methods are used in most image communication systems with limited bandwidth to reducing image data size [4], ...for image compression applications over ... See full document