Small object detection is a particular case of object detection where various techniques are employed to detect small objects in digital images and videos...

videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of...

Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by various methods...

Collision detection is the computational problem of detecting an intersection of two or more objects in virtual space. More precisely, it deals with the...

Image restoration Landmark detection Medical image computing Object detection Moving object detection Small object detection Optical character recognition...

processing like morphology etc.) object localisation is required which may make use of this technique. Foreground detection separates foreground from background...

performed best when limited to orbiting around individual objects, such as a drum set, plants or small toys. Since the original paper in 2020, many improvements...

Kybernetika. 46 (5): 926–937. Viola, P.; Jones, M. (2001). "Rapid object detection using a boosted cascade of simple features". Proceedings of the 2001...

deployed on the A1 road and at the Dartford Tunnel. The first arrest through detection of a stolen car was made in 1981. However, ANPR did not become widely...

a scene is reconstructed using images from a moving camera. Moving object detection Graphics processing unit Vision processing unit Scale-invariant feature...

uses a small portion of i-LIDS video footage, and the PETS Benchmark Data. They focus on functionalities such as tracking, left luggage detection and virtual...

vision include scene reconstruction, object detection, event detection, activity recognition, video tracking, object recognition, 3D pose estimation, learning...

query object. The Pailitao application uses a deep CNN model with branches for joint detection and feature learning to discover the detection mask and...

image processing techniques for lens distortion removal, etc. Feature detection: define interest operators, and match features across frames and construct...

Computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are systems that assist doctors in the interpretation of medical images...

impossible to represent all appearances of an object. Uses edge detection techniques, such as the Canny edge detection, to find edges. Changes in lighting and...

database. Object Detection and Recognition: Identifying and recognising objects within images, especially in complex scenarios with multiple objects and occlusions...

such as points, edges or objects. Features may also be the result of a general neighborhood operation or feature detection applied to the image. Other...

beam) or 2D- (sweeping) laser rangefinders, 3D high definition light detection and ranging (lidar), 3D flash lidar, 2D or 3D sonar sensors, and one or...

detection and refinement of corners but these methods increase the complexity of the solution. VR Technique Entire volume transparence of the object is...

In computer science, landmark detection is the process of finding significant landmarks in an image. This originally referred to finding landmarks for...

mo-cap or mocap, for short) is the process of recording the movement of objects or people. It is used in military, entertainment, sports, medical applications...

to object recognition and/or object tracking. In other domains, such as histogram analysis, blob descriptors can also be used for peak detection with...

with pulse-amplitude time-domain radar for small object detection near terrain and weather. Increases detection range by 300% or more in comparison to moving...

existence. Content-based image retrieval Object categorization from image search Object detection Outline of object recognition "Archived copy" (PDF). i.yz...

from video surveillance cameras in order to recognize humans, vehicles, objects, attributes, and events. Security contractors program the software to define...

reconstruction is the process of capturing the shape and appearance of real objects along a temporal dimension. This process can be accomplished by methods...

colleagues, following the detection of 'Oumuamua, predicts that "The steady-state population of similar, ~100 m scale interstellar objects inside the orbit of...

contours are generated using the 3D initial solution object. 3D contours of the initial object surface are projected onto their associated radiograph...

To segment an object, a segmentation seed is needed (that is the starting point that determines the approximate position of the object in the image)....