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Video Tracking
Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging and video editing. Video tracking can be a time-consuming process due to the amount of data that is contained in video. Adding further to the complexity is the possible need to use object recognition techniques for tracking, a challenging problem in its own right. Objective The objective of video tracking is to associate target objects in consecutive video frames. The association can be especially difficult when the objects are moving fast relative to the frame rate. Another situation that increases the complexity of the problem is when the tracked object changes orientation over time. For these situations video tracking systems usually employ a motion model which describes how the image ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Motion (physics)
In physics, motion is when an object changes its position with respect to a reference point in a given time. Motion is mathematically described in terms of displacement, distance, velocity, acceleration, speed, and frame of reference to an observer, measuring the change in position of the body relative to that frame with a change in time. The branch of physics describing the motion of objects without reference to their cause is called ''kinematics'', while the branch studying forces and their effect on motion is called '' dynamics''. If an object is not in motion relative to a given frame of reference, it is said to be ''at rest'', ''motionless'', ''immobile'', '' stationary'', or to have a constant or time-invariant position with reference to its surroundings. Modern physics holds that, as there is no absolute frame of reference, Isaac Newton's concept of '' absolute motion'' cannot be determined. Everything in the universe can be considered to be in motion. Motion applies to ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Condensation Algorithm
The condensation algorithm (Conditional Density Propagation) is a computer vision algorithm. The principal application is to detect and track the contour of objects moving in a cluttered environment. Object tracking is one of the more basic and difficult aspects of computer vision and is generally a prerequisite to object recognition. Being able to identify which pixels in an image make up the contour of an object is a non-trivial problem. Condensation is a probabilistic algorithm that attempts to solve this problem. The algorithm itself is described in detail by Isard and Blake in a publication in the ''International Journal of Computer Vision'' in 1998. One of the most interesting facets of the algorithm is that it does not compute on every pixel of the image. Rather, pixels to process are chosen at random, and only a subset of the pixels end up being processed. Multiple hypotheses about what is moving are supported naturally by the probabilistic nature of the approach. The evalu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Mixed Reality
Augmented reality (AR), also known as mixed reality (MR), is a technology that overlays real-time 3D computer graphics, 3D-rendered computer graphics onto a portion of the real world through a display, such as a handheld device or head-mounted display. This experience is seamlessly interwoven with the physical world such that it is perceived as an immersion (virtual reality), immersive aspect of the real environment. In this way, augmented reality alters one's ongoing perception of a real-world environment, compared to virtual reality, which aims to completely replace the user's real-world environment with a simulated one. Augmented reality is typically visual, but can span multiple sensory Modality (human–computer interaction), modalities, including Hearing, auditory, haptic perception, haptic, and Somatosensory system, somatosensory. The primary value of augmented reality is the manner in which components of a digital world blend into a person's perception of the real world, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Motion In Computer Vision
In physics, motion is when an object changes its position with respect to a reference point in a given time. Motion is mathematically described in terms of displacement, distance, velocity, acceleration, speed, and frame of reference to an observer, measuring the change in position of the body relative to that frame with a change in time. The branch of physics describing the motion of objects without reference to their cause is called ''kinematics'', while the branch studying forces and their effect on motion is called '' dynamics''. If an object is not in motion relative to a given frame of reference, it is said to be ''at rest'', ''motionless'', ''immobile'', '' stationary'', or to have a constant or time-invariant position with reference to its surroundings. Modern physics holds that, as there is no absolute frame of reference, Isaac Newton's concept of '' absolute motion'' cannot be determined. Everything in the universe can be considered to be in motion. Motion applies to ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Cromemco Cyclops
The Cromemco Cyclops, introduced in 1975 by Cromemco, was the first commercial digital camera, all-digital camera using a digital imaging, digital metal–oxide–semiconductor (MOS) image sensor. It was also the first digital camera to be interfaced to a microcomputer. The digital sensor for the camera was a modified 1kibibyte, kb dynamic Random-access memory, RAM (Dynamic random-access memory, DRAM) memory chip that offered a resolution of 32 × 32 pixels (0.001 megapixels). Background The Cyclops Camera was developed by Terry Walker, Harry Garland, and Roger Melen, and introduced as a hobbyist construction project in the February 1975 issue of ''Popular Electronics'' magazine. One month earlier the MITS Altair 8800 microcomputer had been introduced in this same magazine. Les Solomon, technical editor of Popular Electronics, saw the value of interfacing the Cyclops to the Altair, and put Roger Melen (co-developer of the Cyclops) in contact with Ed Roberts (computer en ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Single Particle Tracking
Single-particle tracking (SPT) is the observation of the motion of individual particles within a medium. The coordinates time series, which can be either in two dimensions (''x'', ''y'') or in three dimensions (''x'', ''y'', ''z''), is referred to as a ''trajectory''. The trajectory is typically analyzed using statistical methods to extract information about the underlying dynamics of the particle. These dynamics can reveal information about the type of transport being observed (e.g., thermal or active), the medium where the particle is moving, and interactions with other particles. In the case of random motion, trajectory analysis can be used to measure the diffusion coefficient. Applications In life sciences, single-particle tracking is broadly used to quantify the dynamics of molecules/proteins in live cells (of bacteria, yeast, mammalian cells and live ''Drosophila'' embryos). It has been extensively used to study the transcription factor dynamics in live cells. This method ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Swistrack
SwisTrack is an open-source tool for tracking robots and other objects using a camera or a recorded video as input source. It has mainly been developed by Distributed Intelligent Systems and Algorithms Laboratory (DISAL) and the LPM Vision Group at EPFL in Lausanne, Switzerland. Architecture SwisTrack is written in C++ using the wxWidgets library for GUI and networking. It uses Intel's OpenCV library for fast image processing and contains interfaces for USB, FireWire and GigE cameras, as well as AVI files. Since version 4, SwisTrack's pipeline is built by the user from components which interact with each other and pass data through data channels. There are six data channels: input, grayscale image, color image, binary image, particles and tracks. Individual components work only with some of the data channels. Each data channel that the component works with can be in one of the three modes: read, write and edit (i.e. both read and write). In the typical pipeline, the image i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Optical Flow
Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene. Optical flow can also be defined as the distribution of apparent velocities of movement of brightness pattern in an image. The concept of optical flow was introduced by the American psychologist James J. Gibson in the 1940s to describe the visual stimulus provided to animals moving through the world. Gibson stressed the importance of optic flow for affordance perception, the ability to discern possibilities for action within the environment. Followers of Gibson and his ecological approach to psychology have further demonstrated the role of the optical flow stimulus for the perception of movement by the observer in the world; perception of the shape, distance and movement of objects in the world; and the control of locomotion. The term optical flow is also used by roboticists, encompassing related techniqu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Motion Estimation
In computer vision and image processing, motion estimation is the process of determining ''motion vectors'' that describe the transformation from one 2D image to another; usually from adjacent video frame, frames in a video sequence. It is an well-posed problem, ill-posed problem as the motion happens in three dimensions (3D) but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (''global motion estimation'') or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom. Related terms More often than not, the term motion estimation and the term ''optical flow'' are used interchangeably. It is also related in concept to ''image registration'' and ''stereo correspondence''. In fact all of thes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Motion Capture
Motion capture (sometimes referred as mocap or mo-cap, for short) is the process of recording high-resolution motion (physics), movement of objects or people into a computer system. It is used in Military science, military, entertainment, sports, medical applications, and for validation of computer vision and robots. In films, television shows and video games, motion capture refers to recording actions of Motion-capture acting, human actors and using that information to animate Character animation, digital character models in 2D or 3D computer animation. When it includes face and fingers or captures subtle expressions, it is often referred to as performance capture. In many fields, motion capture is sometimes called motion tracking, but in filmmaking and games, motion tracking usually refers more to match moving. In motion capture sessions, movements of one or more actors are sampled many times per second. Whereas early techniques used 3D reconstruction from multiple images, ima ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Match Moving
In visual effects, match moving is a technique that allows the insertion of 2D elements, other live action elements or CG computer graphics into live-action footage with correct position, scale, orientation, and motion relative to the photographed objects in the Shot (filmmaking), shot. It also allows for the removal of live action elements from the live action shot. The term is used loosely to describe several different methods of extracting camera motion information from a motion picture. Also referred to as motion tracking or camera solving, match moving is related to rotoscoping and photogrammetry. Match moving is sometimes confused with motion capture, which records the motion of objects, often human actors, rather than the camera. Typically, motion capture requires special cameras and sensors and a controlled environment (although recent developments such as the Kinect camera and Apple Inc., Apple's Face ID have begun to change this). Match moving is also distinct from motio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
