Human Action Recognition Research Paper

On September 12, 2008, I observed two people; Person A and Person B. The observation took place at Applebee’s, a local restaurant, beginning at 7:21 p.m. and ending observation at 8:06 p.m. I was serving their table for the evening, enabling myself to observe them closely. The restaurant had died down from the dinner rush, leaving them one of three tables in the smoking section, normally filled with eight. Along with the outside light fading, the lighting indoors was dim, making the dining experience feel more quiet and intimate. The background noise was filled with a light roar of other group’s conversations, and a jazz station played quietly from the speakers overhead.

“When you put a camera on a police officer, they tend to behave a little better, follow the rules a little better. And if a citizen knows the officer is wearing a camera, chances are the citizen will behave a little better.”- William A. Farrar, Chief of Police, Rialto (California) Police Department

The three main concepts that take from this video are; no one needs to feel broken, children need to feel loved exactly as they are, and the importance of dreams. I find it sad that these common sense issues—are issues. But I have also been guilty of creating distance, possibly by actions but for sure by my thoughts. I have witnessed people with disabilities accomplish many great things, and in my mind I put them on pedestals, thought of them as “heroes.” I now understand that they do deserve praise for their accomplishments, but not because they did it with a disability. I remember feeling sorry if I saw a person with a disability, and this was me thinking that I was being empathetic. What I’ve learned most from this video and from class,

- For the twenty years I spent in marketing and advertising, I railed against the word, consumer. It brings to mind for me a big, gulping mouth that mindlessly eats when it's stimulated. There's one thing my career taught me, it's that people are discerning and smart and don't take purchase decisions lightly. People may be consuming as a verb but they certainly aren't doing it in an unconsidered way. In this video, I'm going to share ways to define your audience in a way that will make your customer and your marketing come to life.

One of the main goals of computer vision research is to develop methods for recognition of objects and events. A subclass of these problems is the recognition of humans and their activities. Recognition of humans from arbitrary viewpoints is an important requirement for different applications such as intelligent environments, surveillance and access control.

On June 28th, 2017 I attended an event for my social action activity called, "An Evening with Neil Steinberg - Sun-Times Columnist and Author." This event was hosted by a social worker and a leader in my community, Tracy Traut. She is a therapist in Valparaiso who specializes in providing counseling services to individuals, families, and groups and the primary focus of her practice is addiction and recovery. Tracy is very important to me as she is the reason I was able to follow my dream and work in my community as an advocate and educator in order to reduce the incidence of substance abuse in Porter County. It all started two years ago when my mom set me up with a friend of hers, Tracy. I was then able to set up a face-to-face meeting with Tracy so I could find out how to become an active member of the community that works toward a drug-free county. I now serve on the Porter County Substance Abuse Council as the Chair of the Speaker's Bureau. Due to being such an active member in my community, I was able to hear about this event and I specifically chose it because it is related to addiction and recovery.

Human action and reaction are heavily based on what we experience and how we interoperate those experiences. The Knife Thrower is a short story written by Steven Millhauser that focuses on three major concepts of human action and reaction. The story follows an audience of people as they watch an anticipating show of a knife thrower and his dangerous tricks. In the story, The Knife Thrower, Millhauser focuses on three major concepts of human action; how humans act amongst a group of people, how humans act when trust is built between two individuals, and how humans act when they witness pain and death in regards to the human body.

Local feature methods are entirely based on descriptors of local regions in a video, no prior knowledge about human positioning nor of any of its limbs is given. In the following subsections, these categories are discussed in further.

That being said, there are some things we could do, but I think it 's all about what your message is and your audience. Not all video needs to be actual images or footage; you can do a lot with animation.

Below is a chart of some of the best action verbs in various skill categories:

Feature Extraction and analysis is the method of raw data analysis. Using the information of raw data the high level semantic information can be produced which can be used for identifying postures and gesture. Feature extraction can recognize posture and posture with 97% accuracy [7]. The technique is very robust [2], that it can recognize complex and simple hand gesture.

Visual surveillance for human-behaviour understanding has been investigated worldwide as an active research topic. In particular, an automated video surveillance system for robustly and effectively detecting of unattended objects is increasing the worldwide attention in many contexts, especially, in the consumer world of applications. In these systems, it should be a sufficiently high accuracy enabling a real-time performance. Thus, a prime goal of automated visual surveillance is to obtain a live description of what is happening in a monitored

A hand gesture may be denoted as a set of motion parameters mathematically which can be applied to a dynamic motion model. To create a library of motion parameter sets, training may be conducted on various hand gestures. Motion parameters corresponding to these observed gestures can be compared to the created reference library of motion parameter sets to respond accordingly to the observed gestures performed by the user.

Using right algorithm, can make image sensor sense or detect practically anything. Image sensors are one of the important sensors been used in robotics industry because they are so flexible, but there are two drawbacks with these kind of sensors: 1)they output lots of data, dozens of megabytes per second, and 2) processing this amount of data can overwhelm many processors. And even if the processor can keep up with the data, much of its processing power won’t be available for other tasks.

The drawbacks of some discussed methods are explained: Orientation histogram method applied in [19] have some problems which are; similar gestures might have different orientation histograms and different gestures could have similar orientation histograms, besides that, the proposed method achieved well for any objects that dominate the image even if it is not the hand gesture [19]. Neural Network classifier has been applied for gestures classification[8] but it is time consuming and when the number of training data increase, the time needed for classification are increased too [8]. In [2] the NN required several hours for learning 42 characters and four days to learn ten words [2]. Fuzzy c-means clustering algorithm applied in [6] has some disadvantages; wrong object extraction problem raised if the objects larger than the hand. The performance of recognition algorithm decreases when the distance greater than 1.5 meters between the user and the camera. Besides that, its variation to lighting condition changes and unwanted objects might overlap with the hand gesture. In [16] the system is variation to environment lighting changes which produces erroneous segmentation of the