Approach to model human appearance based on sparse representation for human tracking in surveillance
In human tracking, sparse representation successfully localises the human in a video with minimal reconstruction error using target templates. However, the state‐of‐the‐art approaches use colour and local appearance of a human to discriminate the human from the background regions, and hence fail whe...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-09-01
|
Series: | IET Image Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-ipr.2018.5961 |