The Research on Object Detection and Tracking in Video Sequence
نویسندگان
چکیده
منابع مشابه
Algorithm Research on Moving Object Detection of Surveillance Video Sequence
In video surveillance, there are many interference factors such as target changes, complex scenes, and target deformation in the moving object tracking. In order to resolve this issue, based on the comparative analysis of several common moving object detection methods, a moving object detection and recognition algorithm combined frame difference with background subtraction is presented in this ...
متن کاملObject Tracking in a Video Sequence
Object tracking has been a hot topic in the area of computer vision. A lot of research has been undergoing ranging from applications to noble algorithms. However, most works are focused on a specific application, such as tracking human, car, or pre-learned objects. In this project, objects randomly chosen by a user are tracked using SIFT features and a Kalman filter. After sufficient informatio...
متن کاملObject Detection and tracking in Video Sequences
This paper focuses on key steps in video analysis i.e. Detection of moving objects of interest and tracking of such objects from frame to frame. The object shape representations commonly employed for tracking are first reviewed and the criterion of feature Selection for tracking is discussed. Various object detection and tracking approaches are compared and analyzed.
متن کاملA Survey on Object Recognition, Detection and Tracking in Video
Object recognition is the task of finding and identifying objects in an image or video sequence. Object recognition is categorizes to two steps: Object detection and object tracking. The process of finding instances of real-world objects such as faces, vehicles, and buildings. Object tracking is estimating the trajectory of an object in the image plane as it moves around a scene. Object Recogni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2017
ISSN: 2475-8841
DOI: 10.12783/dtcse/cib2015/16160