TCM: Temporal Consistency Model for Head Detection in Complex Videos
Joint Authors
Khan, Sultan Daud
Altamimi, Ahmed B.
Ullah, Mohib
Ullah, Habib
Cheikh, Faouzi Alaya
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Head detection in real-world videos is a classical research problem in computer vision.
Head detection in videos is challenging than in a single image due to many nuisances that are commonly observed in natural videos, including arbitrary poses, appearances, and scales.
Generally, head detection is treated as a particular case of object detection in a single image.
However, the performance of object detectors deteriorates in unconstrained videos.
In this paper, we propose a temporal consistency model (TCM) to enhance the performance of a generic object detector by integrating spatial-temporal information that exists among subsequent frames of a particular video.
Generally, our model takes detection from a generic detector as input and improves mean average precision (mAP) by recovering missed detection and suppressing false positives.
We compare and evaluate the proposed framework on four challenging datasets, i.e., HollywoodHeads, Casablanca, BOSS, and PAMELA.
Experimental evaluation shows that the performance is improved by employing the proposed TCM model.
We demonstrate both qualitatively and quantitatively that our proposed framework obtains significant improvements over other methods.
American Psychological Association (APA)
Khan, Sultan Daud& Altamimi, Ahmed B.& Ullah, Mohib& Ullah, Habib& Cheikh, Faouzi Alaya. 2020. TCM: Temporal Consistency Model for Head Detection in Complex Videos. Journal of Sensors،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190672
Modern Language Association (MLA)
Khan, Sultan Daud…[et al.]. TCM: Temporal Consistency Model for Head Detection in Complex Videos. Journal of Sensors No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1190672
American Medical Association (AMA)
Khan, Sultan Daud& Altamimi, Ahmed B.& Ullah, Mohib& Ullah, Habib& Cheikh, Faouzi Alaya. TCM: Temporal Consistency Model for Head Detection in Complex Videos. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190672
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190672