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

You Only Look Once (YOLO) is a series of real-time object detection systems based on convolutional neural networks. First introduced by Joseph Redmon et...

The Viola–Jones object detection framework is a machine learning object detection framework proposed in 2001 by Paul Viola and Michael Jones. It was motivated...

incorrect or misleading outputs by AI systems in tasks like translation or object detection. For example, in 2017, Google researchers used the term to describe...

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

such as object detection, facial recognition, and multi-label classification. See (Calli et al, 2015) for a review of 33 datasets of 3D object as of 2015...

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

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

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...

health-care, retail, automotive, transport, home automation, flame and smoke detection, safety, and security. The algorithms can be implemented as software on...

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

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

family of machine learning models for computer vision, and specifically object detection and localization. The original goal of R-CNN was to take an input image...

acronym of "light detection and ranging" or "laser imaging, detection, and ranging") is a method for determining ranges by targeting an object or a surface...

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

multi-modal search, recommendations engines, large language models (LLMs), object detection, etc. Vector databases are also often used to implement retrieval-augmented...

On February 11, 2023, an octagonal unidentified flying object was detected over northern Montana. It disappeared until it was spotted the next day in Wisconsin...

detective in attempting to reconstruct a sequence of events by identifying the relevant information in a situation. Object detection Signal detection theory...

In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that...

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

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...

towards the radar receiver are the desirable ones that make radar detection work. If the object is moving either toward or away from the transmitter, there...

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

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

tagging Intent detection Sentiment analysis Machine translation Speech recognition Image recognition: Facial recognition Object detection Reinforcement...

successfully used in several applications of machine learning such as object detection, acoustic models, and natural language processing. Recently[when?]...

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...

similarity measure (Bhattacharyya coefficient). Contour tracking: detection of object boundary (e.g. active contours or Condensation algorithm). Contour...

in various computer vision tasks, including image classification, object detection, and segmentation. EfficientNet introduces compound scaling, which...

descriptor used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized...