A multiple object tracking system applied to insect behavior

Segmentation and tracking of multiple objects is an extensively researched eld among Image Sciences. Multiple object tracking is, in general, a very hard problem due to the great number of potencial issues that might arise (such as the sudden movement of the tracked objects, changes on the appearence of either the tracked objects or the background scene, bad-quality frames, occlusion between an object and the scene or between multiple objects, or camera movement). Normally, object tracking is performed on applications that require the object locations to perform calculations later. This paper describes the research, design and development of a system created in order to track multiple insects on recorded videos.WCGIV - XI Workshop computación gráfica, imágenes y visualizaciónRed de Universidades con Carreras en Informática (RedUNCI

THE ECOLOGY AND BEHAVIOR OF SPRING MIGRATING INDIANA BATS (\u3cem\u3eMYOTIS SODALIS\u3c/em\u3e)

Migration of animals has been studied for decades and has included everything from large terrestrial and pelagic mammals traveling thousands of kilometers to many types of birds flying through several countries to insects going through multiple life cycles in a single migration. The migration of bats has been studied in broad terms to gather coarse information such as distance traveled, connecting summer and winter habitat, and a general understanding of timing. However, only recently have researchers begun to understand the specifics of bat migration including physiology and fine resolution behavior. Using nine years of spring migration data collected on VHF radio-tagged federally endangered female Indiana bats (Myotis sodalis), I predicted behavior based on previous migration studies for bats that used various methods such as band recovery data, stable hydrogen isotopes, and automated telemetry. My project used aerial telemetry to collect location points while tracking individual bats throughout the migration. I describe distances traveled, how much time bats spent in migration, traveling and foraging behavior during migration, and how weather affects bat behavior. In addition, this project resulted in the location of 17 previously unknown maternity colonies for the species including the southernmost colony known to date. Next, I used temperature data collected from individual bats along with ambient temperature to determine how air temperature affects specific bat behavior. I calculated air temperature thresholds for use of torpor in Indiana bats and described how air temperature affects transition states between torpor and normothermy. Finally, I determined landscape preferences for migrating bats during travel and foraging. Indiana bats tend to migrate in a direct path from hibernaculum to summer grounds and use the habitat in the proportion that it is available. Although bats used forested cover when possible, they did travel in open areas (e.g., across agricultural fields) when necessary to continue along the intended trajectory. This data set is the first to track individual nocturnally migrating bats via aerial telemetry for the entirety of the spring migration journey. It provides specific information about how far Indiana bats travel and how long they are migrating across the landscape, illustrates a web of connections between summer and winter habitat, describes the effect of weather on bat behavior, and provides landscape use information that can be useful for land managers and developers

Study of Interaction Between Mexican Free-tailed Bats (Tadarida Brasiliensis) and Moths and Counting Moths in a Real Time Video

Brazilian free tailed bats (Tadarida brasiliensis) are among the most abundant and widely distributed species in the southwestern United States in the summer. Because of their high metabolic needs and diverse diets, bats can impact the communities in which they live in a variety of important ways. The role of bats in pollination, seed dispersal and insect control has been proven to be extremely significant. Due to human ignorance, habitat destruction, fear and low reproductive rates of bats, there is a decline in bat populations. T.brasiliensis eats large quantities of insects but is not always successful in prey capture. In the face of unfavorable foraging condition bats reduce energy expenditure by roosting. By studying the interaction between bats and adults insects along with the associated energetics, we estimate the pest control provided by bats in agro-ecosystems to help understand their ecological importance. To visualize the interaction between bats and adult insects, a simulator has been designed. This simulator is based upon an individual based modeling approach. Using the simulator, we investigated the effect of insect densities and their escape response on the foraging pattern of bats. Traditionally synthetic pesticides were used to control pest population. But recently the use of transgenic crops has become widespread because of the benefits such as fewer pesticide applications and increased yield for growers. To study the effect of these transgenic crops on moth densities and subsequently on bats foraging activity, videos were recorded in the fields at Texas. To count the moths in the videos, we utilized image segmentation techniques such as thresholding and connected component labeling. Accuracy up to 90% has been achieved using these techniques

AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants

The leafcutter ants (LCA) are considered plague in a great part of the American continent, causing great damage in production fields. Knowing the locomotion and foraging rhythm in LCA on a continuous basis would imply a significant advance for ecological studies, fundamentally of animal behavior. However, studying the forage rhythm of LCA in the field involves a significant human effort. This also adds a risk of subjective results due to the operator fatigue. In this work a new development named ‘AntVideoRecord’ is proposed to address this issue. This device is a low-cost autonomous system that records videos of the LCA path in a fixed position. The device can be easily reproduced using the freely accessible source code provided. The evaluation of this novel device was successful because it has exceeded all the basic requirements in the field: record continuously for at least seven days, withstand high and low temperatures, capture acceptable videos during the day and night, and have a simple configuration protocol by mobile devices and laptops. It was possible to confirm the correct operation of the device, being able to record more than 1900 h in the field at different climate conditions and times of the day. 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CCANII: FMV 15605

AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants

The leafcutter ants (LCA) are considered plague in a great part of the American continent, causing great damage in production fields. Knowing the locomotion and foraging rhythm in LCA on a continuous basis would imply a significant advance for ecological studies, fundamentally of animal behavior. However, studying the forage rhythm of LCA in the field involves a significant human effort. This also adds a risk of subjective results due to the operator fatigue. In this work a new development named ‘AntVideoRecord’ is proposed to address this issue. This device is a low-cost autonomous system that records videos of the LCA path in a fixed position. The device can be easily reproduced using the freely accessible source code provided. The evaluation of this novel device was successful because it has exceeded all the basic requirements in the field: record continuously for at least seven days, withstand high and low temperatures, capture acceptable videos during the day and night, and have a simple configuration protocol by mobile devices and laptops. It was possible to confirm the correct operation of the device, being able to record more than 1900 h in the field at different climate conditions and times of the day.Fil: Sabattini, Julian Alberto. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Reta, Juan Manuel. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Bugnon, Leandro Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; ArgentinaFil: Cerrudo, Juan Ignacio. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Sabattini, Rafael Alberto. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Peñalva, Albano. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Bollazzi, Martín. Universidad de la República; UruguayFil: Paz, Martin Omar. No especifíca;Fil: Sturniolo, F.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentin

ANALYSIS OF THE POSSIBILITY OF UTALIZATION OF HONEY BEES IN EXPLOSIVE DETECTION

The fact that honey bees can detect explosive is widely known since late ’90, particularly when US Defense Advanced Research Projects Agency (DARPA) solicited in 1999 proposals on Control led Biological and Biomimetic Systems. The honey of honey bees was known and approved in Croatia in 1994, 1997, 1999, 2002, as the sensitive indicator of the nuclear pollution (after Chernobyl). The application of the honey bees for the detection of the explosive and the land mines was treated in several scientific research and development projects. There are two main aspects of the application of the honey bees: biological and technical. The biological aspects are among others, the conditioning, training of honey bees, and assessment of their sensitivity for the various explosives and methods of their application and will not be considered. In this paper we consider technical aspects regarding the application of the honey bees for explosive and landmine detection, particularly methods, techniques and technologies of gathering data and information from honey bees smelling the explosive. For the detection of the honey bees over explosive samples were used several methods and techniques: locating the honey bees by lidar, locating the honey bee caring the microwave dipole and detecting the third harmonic of the radar waves, detecting honey bees by spectral features. This technique is very complicated and alternative approach was researched and approved in Croatia for assessment of the bees’ distribution over wide area: detecting the honey bees from air by electro optical sensors, using long wave thermal camera and digital image processing. Third direction of research and development is aimed for the handheld sensor for detection of the explosive and one system is available (VASOR136)