Movement Detection Demo

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Warning: This algorithm performs best on videos that resemble security video footage of humans moving through a stable background. It may not perform well on other types of video. Introduction This algorithm detects movement in a given video. Input: (Required): URL to the video on the Data API ( ). (Required): Location of where the results are going to be saved. (Required): If 1; frames of the video are flipped. If 0; no flip. It is important to give the correct value for this parameter because the algorithm adjusts the background subtraction parameters according to the position of objects in the frame and orientation affects this vastly. Output Location of where the results are stored.  The text file is going to contain "Frame# [Rectangle1,Rectangle2,...,RectangeN]" on each line where rectangles are going to have their x, y, width and height separated by spaces. Example Parameter 1: Security footage. Parameter 2: Results output location. Parameter 3: Settings flag. Input: [
] Output: "data://.algo/temp/output.txt"

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1. Type your input

2. See the result

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3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY'
View cURL Docs
algo auth
algo run algo://opencv/MovementDetectionDemo/0.1.1 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia ""

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://opencv/MovementDetectionDemo/0.1.1")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://opencv/MovementDetectionDemo/0.1.1");
AlgoResponse result = algo.pipeJson(input);
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://opencv/MovementDetectionDemo/0.1.1")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://opencv/MovementDetectionDemo/0.1.1");
var response = algorithm.pipe<object>(input);
View .NET/C# Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('opencv/MovementDetectionDemo/0.1.1')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("opencv/MovementDetectionDemo/0.1.1")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('opencv/MovementDetectionDemo/0.1.1')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("opencv/MovementDetectionDemo/0.1.1");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "opencv/MovementDetectionDemo/0.1.1") { resp, error in
View Swift Docs
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