Object tracking
The Ohio State University · ObjectVideo (United States) · +1 more institution
Abstract
The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of both the object and the scene, nonrigid object structures, object-to-object and object-to-scene occlusions, and camera motion. Tracking is usually performed in the context of higher-level applications that require the location and/or shape of the object in every frame. Typically, assumptions are made to constrain the tracking problem in the context of a particular application. In this survey, we categorize the…
Citation impact
- FWCI
- 111.02
- Percentile
- 100%
- References
- 176
Authors
3Topics & keywords
- Computer science
- Computer vision
- Artificial intelligence
- Object (grammar)
- Video tracking
- Tracking (education)
- Context (archaeology)
- Categorization