K9-blyzer - Towards video-based automatic analysis of canine behavior

Shir Amir; Anna Zamansky; Dirk van der Linden

doi:10.1145/3152130.3152142

K9-blyzer - Towards video-based automatic analysis of canine behavior

Shir Amir, Anna Zamansky, Dirk van der Linden

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

Automatic analysis of animal behavior has the potential to revolutionize thework of animal science and ACI researchers. Many tracking and behavior analysis systems exist for different species, such as birds, insects and mice, but behavior analysis in the canine domain still remains a challenging task. In this research-in-progress paper we describe K9-Blyzer (Canine Behavior Analyzer), which is a tool for automatic video analysis of canine behavior. We present preliminary results of automatic analysis of dog-robot interactions, point out some envisioned extensions of the tool and discuss the potential applications of the tool for the field of ACI.

Original language	English
Title of host publication	ACI2017 - 4rth International Conerence on Animal-Computer Interaction
Subtitle of host publication	Improving Relations, Proceedings
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450353649
DOIs	https://doi.org/10.1145/3152130.3152142
Publication status	Published - 21 Nov 2017
Externally published	Yes
Event	4rth International Conference on Animal-Computer Interaction, ACI 2017 - Milton Keynes, United Kingdom Duration: 21 Nov 2017 → 23 Nov 2017

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F132525

Conference

Conference	4rth International Conference on Animal-Computer Interaction, ACI 2017
Country/Territory	United Kingdom
City	Milton Keynes
Period	21/11/17 → 23/11/17

Access to Document

10.1145/3152130.3152142

https://www.researchgate.net/publication/319319686_K9-Blyzer_-_Towards_Video-Based_Automatic_Analysis_of_Canine_Behavior

Cite this

Amir, S., Zamansky, A., & van der Linden, D. (2017). K9-blyzer - Towards video-based automatic analysis of canine behavior. In ACI2017 - 4rth International Conerence on Animal-Computer Interaction: Improving Relations, Proceedings [a9] (ACM International Conference Proceeding Series; Vol. Part F132525). Association for Computing Machinery, Inc. https://doi.org/10.1145/3152130.3152142

@inproceedings{fa9cc98b0244494a904274709dd88589,

title = "K9-blyzer - Towards video-based automatic analysis of canine behavior",

abstract = "Automatic analysis of animal behavior has the potential to revolutionize thework of animal science and ACI researchers. Many tracking and behavior analysis systems exist for different species, such as birds, insects and mice, but behavior analysis in the canine domain still remains a challenging task. In this research-in-progress paper we describe K9-Blyzer (Canine Behavior Analyzer), which is a tool for automatic video analysis of canine behavior. We present preliminary results of automatic analysis of dog-robot interactions, point out some envisioned extensions of the tool and discuss the potential applications of the tool for the field of ACI.",

keywords = "ACI, Automatic Behavior Recognition, Computer Vision, Ethology, Video Processing",

author = "Shir Amir and Anna Zamansky and {van der Linden}, Dirk",

year = "2017",

month = nov,

day = "21",

doi = "10.1145/3152130.3152142",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery, Inc",

booktitle = "ACI2017 - 4rth International Conerence on Animal-Computer Interaction",

note = "4rth International Conference on Animal-Computer Interaction, ACI 2017 ; Conference date: 21-11-2017 Through 23-11-2017",

}

Amir, S, Zamansky, A & van der Linden, D 2017, K9-blyzer - Towards video-based automatic analysis of canine behavior. in ACI2017 - 4rth International Conerence on Animal-Computer Interaction: Improving Relations, Proceedings., a9, ACM International Conference Proceeding Series, vol. Part F132525, Association for Computing Machinery, Inc, 4rth International Conference on Animal-Computer Interaction, ACI 2017, Milton Keynes, United Kingdom, 21/11/17. https://doi.org/10.1145/3152130.3152142

K9-blyzer - Towards video-based automatic analysis of canine behavior. / Amir, Shir; Zamansky, Anna; van der Linden, Dirk.

ACI2017 - 4rth International Conerence on Animal-Computer Interaction: Improving Relations, Proceedings. Association for Computing Machinery, Inc, 2017. a9 (ACM International Conference Proceeding Series; Vol. Part F132525).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - K9-blyzer - Towards video-based automatic analysis of canine behavior

AU - Amir, Shir

AU - Zamansky, Anna

AU - van der Linden, Dirk

PY - 2017/11/21

Y1 - 2017/11/21

N2 - Automatic analysis of animal behavior has the potential to revolutionize thework of animal science and ACI researchers. Many tracking and behavior analysis systems exist for different species, such as birds, insects and mice, but behavior analysis in the canine domain still remains a challenging task. In this research-in-progress paper we describe K9-Blyzer (Canine Behavior Analyzer), which is a tool for automatic video analysis of canine behavior. We present preliminary results of automatic analysis of dog-robot interactions, point out some envisioned extensions of the tool and discuss the potential applications of the tool for the field of ACI.

AB - Automatic analysis of animal behavior has the potential to revolutionize thework of animal science and ACI researchers. Many tracking and behavior analysis systems exist for different species, such as birds, insects and mice, but behavior analysis in the canine domain still remains a challenging task. In this research-in-progress paper we describe K9-Blyzer (Canine Behavior Analyzer), which is a tool for automatic video analysis of canine behavior. We present preliminary results of automatic analysis of dog-robot interactions, point out some envisioned extensions of the tool and discuss the potential applications of the tool for the field of ACI.

KW - ACI

KW - Automatic Behavior Recognition

KW - Computer Vision

KW - Ethology

KW - Video Processing

UR - http://www.scopus.com/inward/record.url?scp=85038895065&partnerID=8YFLogxK

U2 - 10.1145/3152130.3152142

DO - 10.1145/3152130.3152142

M3 - Conference contribution

AN - SCOPUS:85038895065

T3 - ACM International Conference Proceeding Series

BT - ACI2017 - 4rth International Conerence on Animal-Computer Interaction

PB - Association for Computing Machinery, Inc

T2 - 4rth International Conference on Animal-Computer Interaction, ACI 2017

Y2 - 21 November 2017 through 23 November 2017

ER -

K9-blyzer - Towards video-based automatic analysis of canine behavior

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this