Frame-by-Frame Analysis for Assessing Chickens Flock Movement

Sesulihatien, Wahjoe Tjatur; Barakbah, Ali Ridho; Prasetyo, Piko Permata Ilham

doi:10.1109/ies59143.2023.10242410

Cited by 1 publication

(2 citation statements)

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“…Our chosen method involved creating artificial points for tracking, offering a simpler and easily computable alternative. The equation to compute contour analysis can be seen in the equation ( 6)- (8).…”

Section: Image Processingmentioning

confidence: 99%

“…Our proposed system comprises a hardware camera equipped with a 470 nm bandpass lens, chosen for its ability to facilitate image processing with satisfactory outcomes. This selection is based on numerous prior studies indicating that the 470 nm bandpass lens yields the most discriminative values in chicken feather hyperspectral responses [8], [12], [19]. While it may not match the precision of convolutional neural networks and their derivatives when well-trained, this hardware setup provides computable results suitable for the procedural system process, particularly in simplifying thresholding image processing.…”

Section: A Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Behavioral Discrimination in Chicken Flocks: A Camera-Based Movement Analysis for Distinguishing Normal and Scared Behaviors

Piko Permata Ilham Prasetyo,

Wahjoe Tjatur Sesulihatien,

Ali Ridho Barakbah

2024

ijcs

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Assessing chicken behavior in coops is crucial for high-quality meat production and stress prevention. This paper introduces an innovative system for evaluating behavior in chicken flocks by integrating collective area and its rate of change, surpassing traditional metrics like individual chicken distance walked, velocity, and acceleration. The novelty lies in simultaneously using multiple methods, providing a nuanced understanding of chicken responses and enhancing precision in behavior discrimination. The proposed system utilizes camera-based movement analysis, employing procedural image processing and data association for early detection and intervention in closed cage systems. This cost-effective solution is accessible to local farmers, contributing to improved poultry farming practices. The hardware setup includes a camera with a 470 nm bandpass lens, yielding computable results suitable for procedural system processes, especially in streamlining thresholding image processing.

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Section: Image Processingmentioning

confidence: 99%