Motion detection/estimation plays a crucial role in dynamic visual tracking. Whether a dynamic visual tracking system can successfully track a moving target closely depends on the quality of motion detection/estimation results. In dynamic visual tracking, the camera used to capture images is not stationary, so any slight vibration of the camera motion or the target motion can lead to a blurry i...

Magnetic Resonance Image is one of the best technologies currently being used for diagnosing brain cancer at advanced stages. This paper proposes a novel approach for the MRI image enhancement, which is based on the Modified Tracking Algorithm, Histogram Equalization and Center Weighted Median (CWM) filter. This method consists of two approaches. The first approach is applying the modified trac...

Tracking multiple people using cameras is similar to the well-studied problem of tracking multiple radar or sonar echoes. This thesis shows that current camera-based tracking algorithms convert each image in a video sequence to a list of targets through a segmentation step, and pass this target set to a traditional multiple-point-target tracking algorithm. Various tracking vision-based strategi...

Eye movement behavior was investigated for image-quality and chromatic adaptation tasks. examined the differences between paired comparison, rank order, and graphical rating tasks, and t examined the strategies adopted when subjects were asked to select or adjust achromatic regio indicate that subjects spent about 4 seconds looking at images in the rank order task, 1.8 seconds pe comparison tas...

Visual quality is a multifaceted quantity that depends on multiple attributes of the image/video. According to Keelan’s definition, artifactual attributes concern features of the image that when visible, are annoying and compromise the integrity of the image. Aesthetic attributes instead depend on the observer’s personal taste. Both types of attributes have been studied in the literature in rel...

Quantitative analysis of dynamic processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. Deterministic approaches, which use object detection prior to tracking, perform poorly in the case of noisy image data. We propose an improved, completely automatic tracker, built within a Bayesian probabilistic framework....

We propose a selective method of measurement for computing image similarities based on characteristic structure extraction and demonstrate its application to flexible endoscope navigation, in particular to a bronchoscope navigation system. Camera motion tracking is a fundamental function required for image-guided treatment or therapy systems. In recent years, an ultra-tiny electromagnetic senso...

Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an e...

We present an algorithm for tracking the position of a curling stone from broadcast footage of curling events. Due to the constant panning of the camera in addition to perspective changes in the image, this introduces a need for image rectification and tracking of the camera view on the ice. We break the algorithm in four distinct components: rectification, frame tracking, stone tracking, and l...

In microhandling, the optical sensor is often the only way to obtain position information about tools and specimen. Optical microscopes are used to observe e.g. a manufacturing process. Image processing is extensively used if handling processes are fully automated. Based on the image sensor, objects are detected and classified. Additionally, the image sensor is often used as a motion tracking s...